Trust aware nature inspired optimised routing in clustered wireless sensor networks

被引:0
|
作者
Gilbert, Edwin Prem Kumar [1 ]
Baskaran, K. [2 ]
Rajsingh, Elijah Blessing [1 ]
Lydia, M. [3 ]
Selvakumar, A. Immanuel [3 ]
机构
[1] Karunya Inst Technol & Sci, Dept Comp Sci & Engn, Coimbatore, Tamil Nadu, India
[2] Govt Coll Technol, Dept Elect & Instrumentat Engn, Coimbatore, Tamil Nadu, India
[3] Karunya Inst Technol & Sci, Dept Elect & Elect Engn, Coimbatore, Tamil Nadu, India
关键词
artificial bee colony algorithm; ant colony optimisation; ACO; differential evolution; firefly algorithm; multi-objective optimisation; particle swarm optimisation; PSO; trust management; wireless sensor networks; WSN; routing; PROTOCOL; ALGORITHM; MANAGEMENT; LIFETIME; SYSTEM;
D O I
10.1504/IJBIC.2019.101637
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
Wireless sensor networks (WSN) consist of sensor nodes which have capabilities of sensing, computation and communication. Routing algorithms are required in a WSN when a node is unable to send a data to the base station directly. In this paper, a trust aware optimised compressed sensing-based data aggregation and routing algorithm has been proposed for clustered WSN. Compressed sensing is used for data aggregation from sensor nodes with reduced overhead. Nature inspired optimisation has been implemented to obtain trade-off between transmission distance, hop-count, number of transmitted message and most trusted path using artificial bee colony algorithm, ant colony optimisation, differential evolution, firefly algorithm and particle swarm optimisation. Trust-based reconstruction of the compressed data is done at the base station in the presence of malicious nodes.
引用
收藏
页码:103 / 113
页数:11
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