Artificial Intelligence Based Energy Efficient Grid PEGASIS Routing Protocol in WSN

Abstract

In Wireless Sensor Networks routing data and information from one node to another and to base station is a major challenges. It shows the commutation between efficiency and responsiveness. Fuzzy logic is one such protocol existing in this category which is used to reduce the overburden cluster head (CH) in Wireless sensor network (WSN), it is a rule based architecture system and with each variation in the network, rules are added in the network. For a network like WSN or MANET, the fuzzy logic may contain hundreds of rules, which makes the architecture more complicated. In this work, a hybrid Power Efficient Gathering in Sensor Information System (PEGASIS) hierarchical protocol is proposed which uses Firefly optimization technique and artificial neural network for making the lifespan of the Wireless Sensor Network (WSN) enhanced. The Firefly optimization algorithm will work on the grid deployment model. PEGASIS is best used for routing with other protocols based on sensors lifetime, total energy consumed and shows comparative results with other mainline protocols. In this work the technique used for optimization is Firefly algorithm in firefly algorithm, attractiveness and light intensity are the significant variables used to attract other firefly with more light intensity than them-self. The light intensity is directly dependent on attractiveness of the firefly. PEGASS is considered as one of the best redirecting method which allows better routing technique. In PEGASIS the sensor node location is random and every node has the capability to detect data, blend data, and equally sends the load among the nodes. Chain of nodes is made according to the positioning of the node and the nodes are plotted by using greedy algorithm. Artificial neural network (ANN) is used as a classifier to remove distortion from the network or to overcome the battery discharge problem. The accomplishment of the proposed work can be assessed by measuring the performance parameters named as Total number of packet transmitted, Energy dissipation, Throughput, Network lifetime by using MATLAB simulator.