Application of IoT in the field of smart city is resulting in revolutionised quality of life, efficient public services and digitally managed infrastructure. The concept of smart city is realised by deploying IoT enabled sensor and actuator nodes in the field of interest. These nodes then operates autonomously to collect data from its surrounding environment and logs to the gateway node for analysis and decision making. The gateway node can connect to internet which enables remote data access to the users. Data can be accessed from gateway node or from specific node. Ensuring data security and genuinity of accessed information is crucial for development of resilient infrastructure and efficient delivery of public services. This necessitates the strong entity authentication mechanism to prevent adversarial attacks In this paper, we propose novel and secure authentication scheme to address security challenges in smart applications and perform its security analysis and simulation.
In wireless sensor network (WSN), data transmission has a serious issue called hotspot problem and can be eliminated by deploying a mobile sink (MS) device. In MS also there are some serious problems like battery capacity of MS, routing problem of MS, and time window for data collection. To improve network lifetime and minimise energy consumption, a hybrid variable neighbourhood search with local search (VNS-LS) routing algorithm is proposed for data collection using a mobile data collector (MDC). The simulation results were performed based on the parameter matrices: network throughput (NT), energy consumption (EC), data collection time (DCT), and packet loss ratio (PLR). The results are then compared with some existing methods, the two-phase energy minimised load balancing scheme (TPEMLB), the heuristic tour planning algorithm (HTPA), and the gravitational search algorithm (GSA). The proposed method shows better results with higher NT, minimum EC, DCT, and PLR than the existing methods.
