Repetitive node categorization technique based reliable clustering and energy efficient communication in P2P wireless sensor network

Abstract

Peer to Peer (P2P) Wireless Sensor Networks (WSNs) acts as a critical purpose in today’s real-world applications. It contains spatially disseminated sensor nodes that collected sensing data to the base station. With the increasing number of applications, the number of notorious activities also increases simultaneously by some unreliable sensors. To fight such activities, rigid security schemes are a demand for both data integrity and to prevent illegitimate access from the unreliable sensor node. Also, the energy consumption of sensor nodes is an essential problem since the sensor has a limited battery lifetime. To resolve these problems, a Repetitive node Categorization technique based Reliable Clustering and Energy Efficient Communication (REEC) in P2P WSN is proposed. In this scheme, the Repetitive node Categorization technique detects the unreliable sensor; thus it isolates the unreliable sensors. The Cluster Head (CH) is elected based on Node Credence Point, and it is calculated by the percentage of Quantity of Adjacency, Remaining Energy and Node Trust. During data aggregation, the identity-based aggregate signature method evaluates the sensor data integrity. In addition, we use the Data Gathering (DG) nodes to collect the data from CH and transmit the data to the base station. Hence, reduce the CH functions and minimize the utilization of CH energy. The designed REEC scheme main objective is to detect unreliable sensors and reduces the energy utilization of CH energy. This scheme is mainly utilized for civil and military applications. Our simulation results show that the REEC scheme works better in terms of unreliable node detection, reduces network delay and increases the sensors residual energy compare to the baseline protocol.