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An Improved PEGASIS Routing Protocol Based on Neural Network and Ant Colony Algorithm

초록

영어

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.

목차

Abstract
 1. Introduction
 2. Related Work
  2.1. Current Research on PEGASIS Routing Protocol
  2.2. The Thought of the Routing Protocol Based On ACON – PEG
 3. The Implementation of ACON - PEG Routing Protocol
  3.1. Confirm the Optimal Number of Sub Chains
  3.2. Chain Head is Identified by using the Idea of Neural Network
  3.3. Selection of Cluster Head
 4. Construction of Main Chain by Using ACO Algorithm
 5. Performance Evaluation
 6. Conclusions
 References

저자정보

  • Tao Li School of Information & Control, Nanjing University of Information Science & Technology, Nanjing 210044, China
  • Feng Ruan School of Information & Control, Nanjing University of Information Science & Technology, Nanjing 210044, China
  • Zhiyong Fan School of Information & Control, Nanjing University of Information Science & Technology, Nanjing 210044, China
  • Jin Wang College of Information Engineering, Yangzhou University, Yangzhou, China
  • Jeong-Uk Kim Department of Energy Grid, Sangmyung University, Seoul 110-743, Korea

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