Biometric authentication with Internet of Things (IoT) systems is constrained by low data bandwidth, packet size, and energy capabilities. The transmission of raw biometric data exceeds the maximum transmission unit (MTU) size of traditional IoT standards (e.g., IEEE 802.15.4), resulting in large packet fragmentation and a high frame collision probability. We present a network-aware payload optimization method to minimize the application layer payload. thereby reducing airtime (channel occupation time) and improving spectrum efficiency. By using skeleton bitmaps and minutiae vectors, the size of the data is decreased by 70%–98% compared with raw images. A smaller payload reduces the protocol header overhead and ARQ for lost packets in lossy wireless environments. We introduce a distributed edge computing architecture for offloading data-intensive tasks from the core network to the network edge, thereby reducing backhaul traffic. Performance tests with a network simulator (NS-3) in Wi-Fi 6 (IEEE 802.11ax) and IEEE 802.15.4 scenarios reveal that transmission times are significantly reduced from 420–520 to 150–190 ms and energy consumption from 110–160 to 65–95 mJ by reducing the payload size from 120 to 35 kB or even further down to 2.4 kB. These results indicate that network-aware, communication-efficient biometric data representations enable scalable and energy-efficient IoT authentication. This strategy emphasizes the importance of minimizing transmitted data volume through network performance metrics in limited wireless scenarios. The results provide architectural guidelines for designing secure and low-latency biometric-based authentication systems in smart homes, healthcare monitoring, and industrial IoT applications, emphasizing network-centric optimization for resource-constrained IoT networks.

Wireless Mesh Networks (WMNs) provide seamless connectivity in rapidly changing and dense environments. But when gateways are integrated to provide network access from outside the current topology, several issues become problems. These include maintaining high levels of performance, energy efficiency, security awareness and interconnection. Traditional routing protocols such as Ad hoc On-Demand Distance Vector Routing (AODV) were not able to achieve these two purposes at all in a hybrid setting where efficient communication with the gateway was needed, especially when faced with high mobility, node density and changing traffic loads. This paper introduces that the problem can be resolved by implementing Fuzzy Control Energy Efficient (FCEE) routing in WMNs The FCEE routing method, characteristic innovative energy-efficient real-time failure mechanism and overall network performance enhancement for wireless mesh networks By integrating fuzzy logic into the AODV framework, the FCEE method adds a short-term memory module that optimizes packet broadcasts based on real-time levels of energy available to each node. The FCEE method not only enhances decision-making for packet forwarding but also reduces unwanted broadcasts thus extending the life of the entire network. Simulations show the FCEE performs better than traditional methods in terms of both energy efficiency, congestion control, and adaptability to dynamic situations. The proposed method thus provides an affordable way to improve the operation of wireless mesh networks, particularly in the case of high traffic areas or long periods where resources are constrained.

This paper contributes a sophisticated statistical method for the assessment of performance in routing protocols salient Mobile Ad Hoc Network (MANET) routing protocols: Destination Sequenced Distance Vector (DSDV), Ad hoc On-Demand Distance Vector (AODV), Dynamic Source Routing (DSR), and Zone Routing Protocol (ZRP). In this paper, the evaluation will be carried out using complete sets of statistical tests such as Kruskal-Wallis, Mann-Whitney, and Friedman. It articulates a systematic evaluation of how the performance of the previous protocols varies with the number of nodes and the mobility patterns. The study is premised upon the Quality of Service (QoS) metrics of throughput, packet delivery ratio, and end-to-end delay to gain an adequate understanding of the operational efficiency of each protocol under different network scenarios. The findings explained significant differences in the performance of different routing protocols; as a result, decisions for the selection and optimization of routing protocols can be taken effectively according to different network requirements. This paper is a step forward in the general understanding of the routing dynamics of MANETs and contributes significantly to the strategic deployment of robust and efficient network infrastructures.

The presented paper offers an in-depth look at mesh routing protocols, focusing on how well they perform under different conditions of node density and mobility. To make accurate comparisons, the study uses robust non-parametric statistical methods, including the Kruskal-Wallis, Mann-Whitney, correlation and covariance tests, to pinpoint which protocols stand out across crucial Quality of Service (QoS) metrics. These metrics cover energy consumption, end-to-end delay, packet delivery ratio, throughput, and network overhead. The research simulates several mesh network scenarios to collect important data for a comprehensive assessment of the reliability and effectiveness of each protocol. The Kruskal-Wallis test identifies large differences in performance across different circumstances. Following that, the Mann-Whitney test offers a closer look, comparing protocols in detail to identify those that work best under specific conditions. The study finds that protocol performance can vary dramatically depending on network density and how mobile the nodes are. It outlines which protocols excel in more stable setups and which remain dependable in fast-changing, dynamic networks. For network designers and operators, these insights are incredibly valuable, offering practical guidance on optimizing performance in real-world deployments. Furthermore, the research underscores why non-parametric statistical methods are so crucial. Network data often show high variability and don't always follow normal distribution patterns, making traditional parametric techniques less reliable. By choosing a more flexible and accurate approach, this study makes a meaningful contribution to wireless communication, providing a clearer picture of how different routing protocols hold up under real-world conditions.

This study is trying to address the critical need for efficient routing in Mobile Ad Hoc Networks (MANETs) from dynamic topologies that pose great challenges because of the mobility of nodes. The main objective was to delve into and refine the application of the Dijkstra's algorithm in this context, a method conventionally esteemed for its efficiency in static networks. Thus, this paper has carried out a comparative theoretical analysis with the BellmanFord algorithm, considering adaptation to the dynamic network conditions that are typical for MANETs. This paper has shown through detailed algorithmic analysis that Dijkstra's algorithm, when adapted for dynamic updates, yields a very workable solution to the problem of real-time routing in MANETs. The results indicate that with these changes, Dijkstra's algorithm performs much better computationally and 30% better in routing optimization than Bellman-Ford when working with configurations of sparse networks. The theoretical framework adapted, with the adaptation of the Dijkstra's algorithm for dynamically changing network topologies, is novel in this work and quite different from any traditional application. The adaptation should offer more efficient routing and less computational overhead, most apt in the limited resource environment of MANETs. Thus, from these findings, one may derive a conclusion that the proposed version of Dijkstra's algorithm is the best and most feasible choice of the routing protocol for MANETs given all pertinent key performance and resource consumption indicators and further that the proposed method offers a marked improvement over traditional methods. This paper, therefore, operationalizes the theoretical model into practical scenarios and also further research with empirical simulations to understand more about its operational effectiveness.

The performance of any communication system heavily relies on the efficient routing of interventions. This article addresses the significant issue of routing protocol selection for optimal path determination in networks. Particularly, when wireless communication occurs among mobile nodes with limited resources, such as batteries, the routing problem becomes even more challenging. This article proposes the Fuzzy Control Energy Efficient (FCEE) routing protocol to overcome these challenges. The FCEE protocol combines the Ad-Hoc On-Demand Distance Vector (AODV) protocol with fuzzy logic techniques to enhance network lifetime and performance. The proposed approach introduces a memory-based channel integrated with fuzzy logic methodologies, which effectively restricts the forwarding of unnecessary broadcast packets based on the energy availability of the operating node. Through extensive simulations, demonstrate the promising capabilities of FCEE as a routing protocol for wireless mesh networks. To further assess the effectiveness of the FCEE protocol, the proposed article compares it with two existing routing protocols: AODV and Intelligent Routing AODV (IRAODV). The simulation results shows that the FCEE routing protocol significantly enhances the reliability of the conventional AODV, providing improved link connectivity and longer route lifetimes. Additionally, our proposed protocol enhances the quality of service (QoS) for mesh routing, with an average throughput of 351.374 (Kbps) compared to 90 (Kbps) for IRAODV and 39 (Kbps) for AODV. Moreover, FCEE exhibits superior energy efficiency with an average energy consumption of 14, while IRAODV and AODV consume 40 and 90 joules, respectively. In conclusion, the FCEE routing protocol demonstrates its potential to address the challenges of efficient routing in wireless mesh networks. By leveraging fuzzy logic and integrating it with AODV, FCEE enhances network lifetime, performance, and energy efficiency, making it a promising solution for future wireless communication systems.

Wirelessly connected mobile devices with self-configuration need to have reliable communication. The deployment of routing techniques in dynamic Ad-Hoc networks has enhanced traffic management. In mobile Ad-Hoc networks (MANETs), each node freely moves from one place to another and acts as a router. However, mobile networks are also considered Ad-Hoc wireless networks. Wireless technologies are merged in MANETs to improve communication among the nodes. MANETs can be easily installed in civil and military applications. This paper presents a survey study on MANETs using fuzzy logic-based techniques based on reviewed literature. Also, some applications are discussed, which include forestry, search and rescue operations, and digital libraries. In addition, different types of routing protocols are incorporated, like proactive, reactive, hybrid, swarm intelligence, and fuzzy logic-based routing. However, a brief overview of fuzzy systems and different real-time applications that use fuzzy technology as a controller are given preference. Besides, investigating fuzzy logic in MANETs, especially in routing protocols, has attracted researchers to this field of study.

The education process, which includes teachers and students, as well as the teaching environment in general, has drawn the attention of the education process due to desirable characteristics such as the educational function, which is distinguished by evolution in its performance methods, scalability, coherence, cost savings, and efficiency. Over the last several decades, e-teaching has varied from the traditional education style, where teachers encounter many difficulties while implementing the traditional education style. Researchers have arrived at conclusions regarding the variables that influence teachers' acceptance of e-teaching by asking respondents to fill out questionnaires, conduct interviews, collect relevant information, and analyze the data obtained. In addition, colleges and universities have been searching for innovative ways to make education readily available to learners and make teaching easier for teachers. Despite the great importance of e-teaching in Iraq to support higher education and human development in contemporary ways, the implementation of e-teaching resists multiple challenges in Iraq. The proposed work can summarize these challenges as the few lecturers and trainers who provide training courses in preparing electronic lectures, information and communications technology infrastructure, electronic lectures and educational materials, tutors, and technical expertise. This paper aimed to identify factors determining the effect of activating e-teaching in Iraq. The research will elaborate on the concept of e-teaching in Iraq and discuss its importance and impacts with significant emphasis on Iraq. The current work concludes that e-teaching in Iraq has made meaningful progress in three universities.

Mesh networks refer to a wireless network capable of self-configuration that does not rely on a fixed infrastructure. The management of network congestion is a crucial concern in such networks owing to the restricted resources and the constantly changing topology of the network. Implementing a decentralized routing protocol, including the AODV routing protocol, is prevalent in mesh networks, where individual nodes are intermediaries for transmitting data packets. Congestion may arise due to network overload, leading to elevated packet loss, prolonged latencies, and suboptimal resource allocation. The present study suggests using a fuzzy logic approach to regulate the latest broadcast packet information within the AODV routing protocol. This technique aims to mitigate congestion in mesh networks and improve the performance of AODV. The study’s main findings indicate that incorporating fuzzy logic into the routing protocol can enhance network performance and optimize the use of network resources. The results demonstrate a 97.78% to 96.43% PDR, a 4.41% to 5.93% PLR, and a routing overhead of 4.41% to 5.93% compared to other protocols. These outcomes suggest that fuzzy logic could effectively improve routing in mesh networks.

Detection of textual data from scene text images is a very thought-provoking issue in computer graphics and visualization. The challenges of text detection come from the nature of images used to detect text from them. The technology proposed is comprised of three main stages: Blurring, transformation to the frequency domain, and de-blurring in the frequency domain as preprocessing procedures; a proposed hybrid model for text detection using k-means clustering and text bounding boxes is used, and (CNN) framework used to classify into textual and non-textual regions. We used the Stroke Width Technique (SWT) when increasing the value of k by analyzing the width of the strokes in the image and thus reducing the potential textual regions resulting from the MSER, which leads to reducing the time and increasing the accuracy of detection, a convolutional neural network (CNN) algorithm is used to perform a classification of all bounding boxes. For the suggested technique’s evaluation, results are collected on three popular datasets, including SVT, IIIT5K, ICDAR 2013, and ICDAR 2015. The datasets for SVT, IIIT5K, ICDAR 2013, and ICDAR 2015 each have classification results of 87.41.

The Mobile Ad-Hoc Network, also known as MANET, is one of the most popular networks that have arisen in the area of technology in recent years. MANET has several routing protocols to transmit data between the source and destination nodes. A MANET protocol must be appropriately configured to guarantee effective data transfer. There must be a suitable routing protocol in place to accomplish this goal. As a result, the correct routing protocol must be selected. MANET relies heavily on adequately using parameter values in its routing protocols. MANET is a network of battery-powered nodes that communicate with each other. Routing protocols are essential in MANET because MANET nodes rely on them to transmit data. While all the routing protocols perform the same function in the network, their performance varies significantly. A network simulator (NS-2) is used in this study to evaluate the performance of four routing protocols at various node speeds. The impact of node speed on the performance of MANETs is essential. This study examined AODV, DSDV, DSR, and ZRP metrics to compare the most popular routing protocols. Comparative experiments confirmed their validity for throughput, packet loss, end-to-end delay, and energy consumption. More than 40 simulation scenarios were run to ensure a network performance result, and four performance parameters were analyzed and compared across four different network speeds to provide a thorough investigation. The finding has confirmed that routing protocols’ performance is influenced by node speed variety.

Research on mobile ad-hoc networks (MANETs) is increasing in popularity due to its rapid, budget-friendly, and easily altered implementation, and relevance to emergencies such as forest firefighting and health care provisioning. The main concerns that ad-hoc networks face is dynamic topology, energy usage, packet drop rate, and throughput. Routing protocol selection is a critical point to surmount alterations in topology and maintain quality in MANET networks. The effectiveness of any network can be vastly enhanced with a well-designed routing protocol. In recent decades, standard MANET protocols have not been able to keep pace with growing demands for MANET applications. The current study investigates and contrasts ant colony optimization (ACO) with various routing protocols. This paper compares ad-hoc on-demand multi-path distance vector (AOMDV), dynamic source routing protocol (DSR), ad-hoc on-demand distance vector routing (AODV), and AntHocNet protocols regarding the quality of service (QoS) and statistical analysis. The current research aims to study the behavior of the state-of-the-art MANET protocols with the ACO technique. The ACO technique is a hybrid technique, integrating a reactive route maintaining technique with a proactive method. The reason and motivation for including the ACO algorithm in the current study is to improve by using optimization algorithms proved in other domains. The ACO algorithm appears to have substantial use in large-scale MANET simulation.

Mobile ad-hoc networks (MANETs) and wireless mesh networks (WMNs) are used in a variety of research areas, including the military, industry, healthcare, agriculture, the Internet of Things (IoT), transportation, and smart cities. The swift advancement in MANET technology is the driving force behind this rising adoption rate. Routing over MANET is a critical problem due to the dynamic nature of the link qualities, even when nodes are static. A key challenge in MANETs is the need for an efficient routing protocol that establishes a route according to certain performance metrics related to the link quality. The routing protocols utilised by the nodes in WMNs and MANETs are distinct. Nodes in both types of networks exchange data packets through the routing protocols. For this highly mobile network, the ad-hoc On-Demand Distance Vector (AODV) routing protocol has been suggested as a possible solution. Recent years have attracted researchers' attention to AODV since it is a routing technique for ad-hoc networks that prevents looping. The architecture of this routing protocol considers several factors, including the mobility of nodes, the failure of connection links, and the loss of packets. In this systematic review, one of the key focuses is bringing attention to the classic AODV, which was developed after discussing the recent development of several versions of AODV. The AODV routing protocol performs a path strength check to generate a more reliable and secure route between the source and destination nodes. In AODV, investigations demonstrate advances in both the format protocol approach and the network simulation-2 (NS-2), and these improvements were made in the same scenario used to revitalise AODV. It has been discovered that the AODV is more effective in several aspects, such as throughput, end-to-end delay, packet delivery ratio (PDR), energy consumption, jitter, packet loss ratio, and network overhead. Furthermore, this paper presents this systematic review based on AODV modifications in the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA). It also provides a methodological framework for the papers' selection.

Research background: A geographic information system (GIS) is a computer-based information system that gathers, manages, and disseminates different geographic (related to earth) information to provide intelligent analytics necessary for prompt decisions and actions. A GIS can aggregate data from several different streams and turn it into a smart dashboard for different users to enhance productivity. The use of intelligent technologies, remote sensing, and ad-hoc wireless networks has significantly improved GIS. In GIS, utilization of sensed data from different sources depends upon the use of efficient sensing equipment, smart mobile nodes, and network gateways and relays that can efficiently route traffic towards the sink or base station. GIS achieve attention in emergency response scenarios for their capability to collect, analyze, and process spatial-referred. Purpose of the article: Article is focused on studying and identifying suitable routing issues of wireless mobile nodes, which are the main transponders for smooth and errorless data transmission. Methods: We performed a simulation-based comparative study of three different routing protocols used in ad-hoc wireless networks, namely is to identify suitable routing protocols that can aid the GIS to improve its overall performance. We calculated and compared our results with different routing protocols. We were able, with the Random mobility model, to estimate the performance of various network parameters. Findings & Value added: We proposed a study in this work that includes geo-information services overall of routing protocols to support a team in stressful situations. The study shows that the AODV routing protocol performed better than the other two routing protocols (OLSR & TORA) under the given topology.

A Mobile ad-hoc Network (MANET) protocol must be configured correctly to ensure efficient data transfer. To achieve this aim a suitable routing protocol must be selected. Therefore, selecting the correct routing protocol is a critical condition, and it presents a classic problem in MANET. Also, using the proper values of the parameter in routing protocols plays a crucial role in MANET. MANET comprises several node devices run by battery as a power source. The primary function of MANET nodes is transmitting data based on routing protocols; thus, routing protocols play an essential role in MANET. Simultaneously, all routing protocols serve the same function in the network, but they differ in their performance. The current paper investigates four routing protocols performance by using the network simulator (NS-2) with various nodes speed, time simulations, network load, and network size. The current project evaluated the protocol performance based on metrics parameters such as throughput, end-to-end delay and packet delivery ratio. The simulation results showed that the ad-hoc On-demand Distance Vector (AODV) protocol was the best in all previous metrics parameters. In contrast, Zone Routing Protocol (ZRP) has the lowest performance. More details of the parameters have been presented in the current paper.

Mobile ad-hoc network (MANET) has attracted the attention of networking industries owning to their desirable characteristics such as multi-hop routing, self-configuration, self-healing, self-managing, reliability, and scalability. Routing over wireless mobile networks is a critical problem due to the dynamic nature of the link qualities, even when nodes are static. A key challenge in MANETs is the need for an efficient routing protocol that establishes a route according to certain performance metrics related to the link quality. The routing issue in MANETs is generally concerned with finding a good path between the source and the destination pairs. Based on that, there is a demand for the development of a high throughput routing protocol. The impact of a single-path routing protocol and a multi path routing protocol on the performance of MANETs is required to be investigated. In this work, a performance comparison in terms of throughput, packet delivery, routing overhead, and end to end delay of well-known routing protocols such as AODV, AOMDV, and OLSR using network simulator version 2 (NS-2) has been introduced. The simulation results of this work show that the single-path AODV protocol out performance the multi path OLSR and AOMDV protocols in terms of throughput and packet delivery ratio. In addition to that, the single-path routing protocol presents less routing overhead in comparison to the AOMDV and OLSR. While the OLSR and AOMDV demonstrate a relatively better end to end delay in comparison to the AODV protocol.

Since there are provisions of many attributes that are not possible or difficult to follow by networks conventionally, mobile ad-hoc networks are extensively deployed. This application starts through the defense sectors, the sensory node presents in the hostile territories down to the gadgets for congestion communication in traffic by general transportation when travelling for adequate provision of infrastructure during disaster recovery. As a lot of importance related to (mobile ad hoc network) MANET application, one important factor in ad-hoc networks is security. Using image processing for securing MANET is the area of focus of this research. Therefore, in this article, the security threats are assessed and representative proposals are summarized in ad-hoc network’s context. The study reviewed the current situation of the art for original to security provision called mobile ad hoc network for wireless networking. The threats to security are recognized while the present solution is observed. The study additionally summarized education erudite, talks on general issues and future instructions are recognized. Also, in this study, the forecast weighted clustering algorithm (FWCA) is employed as a cluster head over weighted clustering algorithm (WCA) is examined as quality in cluster-based routing, service is highly significant with MANET.

The current study is to develop modeling methods, Analysis and synthesis of fingerprints deformations images and their application in problems of automatic fingerprint identification. In the introduction justified urgency of the problem, is given a brief description of thematic publications. In this study will review of modern technologies of biometric technologies and methods of biometric identification, the review of fingerprint identification systems, investigate for distorting factors. The influence of deformations is singled out, the causes of deformation of fingerprints are analyzed. The review of modern ways of the account and modeling of deformations in problems of automatic fingerprint identification is given. The scientific novelty of the work is the development of information technologies for the analysis and synthesis of deformations of fingerprint images. The practical value of the work in the application of the developed methods, algorithms and information technologies in fingerprints identification systems. In addition, it has been found that our paper "devoted to research methods and synthesis of the fingerprint deformations" is a more appropriate choice than other papers.

The process of selecting the routing protocols is one of the most critical choices to be made during the design of an advert hoc network. Several things are essential to be known to choose the route correctly. Simulators are a way of testing the system. Network researchers may use other simulation methods performance like OPNET (Optimized Network Engineering Tool), NS-2 (Network Simulator version 2) and NS-3 (Network Simulator Version 3) in addition to many other simulation programs and tools. In this paper, we have used NS-2.35 for simulation. By using different routing protocols, we have measured and compared our results and were able to figure out throughput, average end delay, PDR, and Nodes energy residual using the Random mobility model. The simulation results showed that the AODV routing protocol has been more efficient in terms of its performance than other routing protocols.

Performance, scalability, Quality of Service (QoS), users’ response, etc. of any network depends upon the efficient network design and communication technologies being exploited. Mobile Ad hoc Networks (MANETs) have become widespread due to their zero-configuration requirements, scalability, maintenance and adaptable nature to cater varying requirements. The core process of any network is routing which is performed by routing protocols. Routing protocols play a crucial role to enhance and improve the performance indicators of any network. Traditional MANET routing protocols have been failed to address growing demands of wireless mobile ad hoc network. In this paper we study and compare a nature inspired Ant Colony Optimization (ACO) algorithm with legacy of MANET protocols. Simulation results show that ACO algorithm has high potential to be used in large scale MANET or other wireless networks. We compared ACO with proactive and reactive routing protocols because despite of their weaknesses these types of protocols are still being used in different and same wireless arrangements.