Energy efficient and trustable routing protocol for Wireless Sensor Networks based on Genetic Algorithm (E2TRP)
Soumitra S. Das, S. Barani, Sanjeev J. Wagh, S. S. Sonavane · 2016
In today's world Wireless Sensor Networks (WSNs) has gained a lot of recognition because of its wide-ranging areas of applications. Sensor nodes in WSNare connected to each other by networks, mainly powered by a battery source. These sensor nodes have lesser amount of power and computational capabilities. Typically, sensor nodes are deployed in remote areas where replacement of their batteries once exhausted becomes extremely difficult and cumbersome. Battery power is crucial aspect of the network (while designing a protocol). To maximize the lifespan of sensor nodes we recommend a genetic algorithm-based model. In this model, energy is distributed among all the sensor nodes and network performance is enriched by choosing the cluster head and clustering on the basis of 3 important factors: a. residual energy, b. distance from the sink and c. trust of the node. The trust of the node helps to detect malicious (abnormal) nodes in the neighborhood. To further maximize the network lifetime, the proposed model implements a multihop routing mechanism for data dissemination from source to the sink. To prove the real-time effectiveness of the proposed model, we simulated it using Matlab and compared with “Design and Implementation of a New Energy Efficient Clustering Algorithm using Genetic Algorithm for Wireless Sensor Networks (DINEECAGA)”[11]. The algorithm was evaluated in the range of 20 to 60 sensor nodes. Our results prove that the proposed model is far better in terms of maximizing the network lifetime than the DINEECAGA.