An efficient multi-objective evolutionary algorithm for energy-aware QoS routing in wireless sensor network

2013 ◽  
Vol 13 (4) ◽  
pp. 208 ◽  
Author(s):  
Sheng Su ◽  
Haijie Yu ◽  
Zhenghua Wu
Author(s):  
G Brindha ◽  
◽  
P. Sudha Juliet ◽  

The Wireless Sensor Network (WSN) is spread widely in many applications due to its portable, cost-effective, and user-friendly approach. This needs to adopt routing schemes to forward the sensed information to the sink nodes or base station through minimum-cost links. The frequently utilized data accumulation approach is clustering which organizes the nodes into clutches to minimize the consumption of energy. Likewise, in clustering protocols, the additional load will be bear by the Cluster Head (CH) for organizing various deeds inside the cluster. As a result, appropriate CH selection and their power balance using efficient clustering protocol are significant features for the long-term operation of the Wireless Sensor Network (WSN). In this paper, An Energy-Aware Cluster Head Selection Protocol based on Multi-Objective Dolphin Swarm Optimization (EACHP-MODSO) is proposed to enrich the lifetime of Wireless Sensor Network (WSN). This proposed method considers six criteria to select effective Cluster Head like residual energy, inter cluster distance, intra-cluster distance, mobility, node density, and delay. The results of the proposed system show better enhancement of network lifetime compared to existing protocols.


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