Secure Routing Protocol based on Multi-objective Ant-colony-optimization for wireless sensor networks |
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| Affiliation: | 1. Department of Computer Science and Engineering, SCAD College of Engineering and Technology, Tirunelveli, Tamilnadu, India;2. Department of Electronics and Communication Engineering, SCAD College of Engineering and Technology, Tirunelveli, Tamilnadu, India;3. Department of Computer Science and Engineering, Anna University Regional Campus, Tirunelveli, Tamilnadu, India;4. Department of Computer Science and Engineering, LNCT College, India;5. VNU Information Technology Institute, Vietnam National University, Hanoi, Vietnam;6. Division of Data Science, Ton Duc Thang University, Ho Chi Minh City, Vietnam;7. Faculty of Information Technology, Ton Duc Thang University, Ho Chi Minh City, Vietnam;1. University of South China, Hunan 421001, China;2. Hunan Province Engineering Technology Research Center of Uranium Tailings Treatment, University of South China, NO28, West Changsheng Road, Hengyang City, Hunan 421001, China;3. Hunan Province Engineering Research Center of Radioactive Control Technology in Uranium Mining and Metallurgy, University of South China, Hunan 421001, China |
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| Abstract: | To solve the problem of achieving the maximum network security goal with lower energy consumption in wireless sensor networks, this paper proposes a Secure Routing Protocol based on Multi-objective Ant-colony-optimization (SRPMA) for wireless sensor networks. The ant colony algorithm is improved to be a multi-objective routing algorithm with considering the residual energy of nodes and the trust value of a rout path as two optimization objectives, in which a rout path is produced through the multi pheromone information and the multi heuristic information consisting of two objective functions. The node trust evaluation model is established by using an improved D-S evidence theory with confliction preprocessing to evaluate nodes trust degree. The multi-objective routing result is obtained by using the Pareto optimal solution mechanism by using the external archive method with a crowding distance criterion. The simulation results conducted with NS2 show that the proposed algorithm can achieve desired performance against the black hole attack in WSN routing. |
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| Keywords: | Wireless sensor networks Secure routing Ant colony algorithm Multi-objective D-S evidence theory |
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