Paper Info
Title
Secure Routing Protocol based on Multi-objective Ant-colony-optimization for wireless sensor networks.
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.
Year
DOI
Venue
2019
10.1016/j.asoc.2019.01.034
Applied Soft Computing
Keywords
Field
DocType
Wireless sensor networks,Secure routing,Ant colony algorithm,Multi-objective,D-S evidence theory
Ant colony optimization algorithms,Rout,Mathematical optimization,Heuristic,Network security,Computer network,Preprocessor,Wireless sensor network,Energy consumption,Mathematics,Routing protocol
Journal
Volume
ISSN
Citations 
77
1568-4946
1
PageRank 
References 
Authors
0.35
20
4
Name
Order
Citations
PageRank
Ziwen Sun1173.34
Wei Min265.17
Zhiwei Zhang31912.07
Gang Qu42476270.62