Wireless Sensor Networks (WSNs) has been utilized for collecting information from physical ecological circumstances. These sensors are used to forecast environmental changes, collecting health information form human care system and monitor the unwanted activities of the intruders in military applications. In wireless communication, a intruder can easily to capture the sensed information. In this type network, the problem is to design a network having high immunity to security mechanisms as well as routing mechanisms. The trust mechanism was also introduced along with the shortest high signal strength path to find the trust path from the existing paths. Thus the trusted path provides the better compromise between energy constraints and data security in the network.

SER is increasing for every IC process generation. Radiation induced soft errors are major concern in semiconductor memories due to technology scaling, higher integration densities and lower operating voltages. Nowadays memory cells are protected by using error correction codes. Among various multiple error correction codes ML decodable codes are suitable for memory applications due to their capability to detect a large number of errors but it requires large decoding time. In this paper a special type of low density parity check (LDPC) codes, which belongs to the family of majority logic decoding called Euclidean Geometry Low Density Parity Check (EG-LDPC) codes which detects the error in less cycle time so the decoding time is greatly reduced and also the memory accessing time also get reduced. The recent paper deals only with error detection in memories but the present paper focus on both error detection and correction by modified implementation of majority gate. The simulation results are compared with the existing techniques.

The proposed system utilizes the concept of multi hop communication in Wireless Sensor Networks(WSNs). On the other hand , the single hop communication leads to more power dissipation in the nodes at the time of transmitting sensed data. The proposed system rectifies the above mentioned problem with the multi hop communication among the finite number of nodes to determine the distance for transferring information from source node to base station using the Fuzzy logical method. In a nutshell, the multi hop communication leads the better solution for saving the transmission energy in the wireless environment.

In general Wireless Sensor Networks (WSN’s), improving the network reliability by using cooperative communication to select the relay node with low overhead is a challenging task. Also the design of routing scheme based on link quality is a critical problem. Due to the resource constraints, connections between the nodes are changeable one. It leads to the network to create a various routes which are necessary. By using the established path, it delivers the data to the base station in a reliable manner. This paper concentrates on a cross layer approach by using various cooperative metric such as Packet Delivery Rate (PDR), Packet Reception Rate (PRR), Required Number of Packet transmission (RNP), Average number of packet sent/resent and Expected Transmission Time (ETX). These parameters are taken as a fuzzy parameter that exploits the cooperative diversity at the routing layer. We propose a Fuzzy based High Quality Link Set Routing (FHQLSR) which selects the high quality relay node and evaluates the quality of link in each node by using RNP and ETX parameters. This FHQLSR scheme is used to find the effective relay node that forward packets to the base station via high quality link and also find the optimal path using Improved Dijikstra’s Algorithm (IDA) in the multi hop networks. By considering routing and link quality parameters, the FHQLSR scheme improves the overall reliability, scalability and stability of the network.

The proposed system utilizes the concept of multi hop communication in Wireless Sensor Networks (WSNs). On the other hand, the single hop communication leads to more power dissipation in the nodes at the time of transmitting sensed data. The proposed system rectifies the above mentioned problem with the multi hop communication among the finite number of nodes to determine the distance for transferring information from source node to base station using the Fuzzy logical method. In a nutshell, the multi hop communication leads the better solution for saving the transmission energy in the wireless environment.