An Energy-Efficient Multipath Routing Algorithm Based on Ant Colony Optimization for Wireless Sensor Networks | Zendy

Mengjun Tong | Zendy; Yangli Chen | Zendy; Fangxiang Chen | Zendy; Xiaoping Wu | Zendy; Guozhong Shou | Zendy

AI Assistant Blog Pricing

Home ZAIA Blog

Open Access

An Energy-Efficient Multipath Routing Algorithm Based on Ant Colony Optimization for Wireless Sensor Networks

Author(s) -

Mengjun Tong,

Yangli Chen,

Fangxiang Chen,

Xiaoping Wu,

Guozhong Shou

Publication year - 2015

Publication title -

international journal of distributed sensor networks

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 0.324

H-Index - 53

eISSN - 1550-1477

pISSN - 1550-1329

DOI - 10.1155/2015/642189

Subject(s) - computer science , multipath routing , ant colony optimization algorithms , multipath propagation , network packet , computer network , node (physics) , probabilistic logic , wireless sensor network , energy consumption , routing (electronic design automation) , path (computing) , wireless , ant colony , distributed computing , algorithm , routing protocol , dynamic source routing , channel (broadcasting) , telecommunications , electrical engineering , structural engineering , artificial intelligence , engineering

An energy-efficient ACO-based multipath routing algorithm (EAMR) is proposed for energy-constrained wireless sensor networks. EAMR is a hybrid multipath algorithm, which is reactive in path discovery and proactive in route maintenance. EAMR has improvement and innovation in the ant packet structure, pheromone update formula, pheromone update mode, and the mechanism of multipath. Average energy consumption and congestion of path make pheromone update formula more reasonable. Incremental pheromone update mode may easily lead to local optimum. The pheromone will be thoroughly updated when a node receives a backward ant. EAMR makes an innovation in multipath mechanism which becomes more reasonable to multipath between source node and destination node. Probabilistic routing mechanism is designed to make stream flow into network more balanced. The simulation results show that the proposed algorithm achieves an improvement in energy efficiency, packet delivery ratio, and end-to-end delay.

The content you want is available to Zendy users.

Already have an account? Click here to sign in.

Having issues? You can contact us here

Accelerating Research