An Improved PEGASIS Routing Protocol Based on Neural Network and Ant Colony Algorithm
Tao Li, Feng Ruan, Zhiyong Fan, Jin Wang, Jeong‐Uk Kim · International Journal of Future Generation Communication and Networking · 2015
This paper proposes a routing protocol for the Wireless Sensor Network (WSN).It is a protocol based on the PEGASIS protocol but using an improved ant colony algorithm and neural network rather than the greedy algorithm to build the chain.Compared with the original PEGASIS, the ACON-PEG can achieve a global optimization.It forms a chain that makes the path more even-distributed and the total square of transmission distance much less.The protocol uses the thought of neural network algorithm to select the chain head, it utilizes ant colony algorithm to find the best path to send data to the BS and the whole area divided into multiple equal parts.It brings about a balance of energy consumption between nodes.Simulation results have shown that the proposed protocol significantly prolongs the network lifetime.