Title :
A New Energy-Efficient Routing Algorithm Based on Ant Colony System for Wireless Sensor Networks
Author :
Xia, Songzhu ; Wu, Su ; Ni, Jun
Author_Institution :
Coll. of Comput. Sci. & Technol., Harbin Eng. Univ., Harbin, China
Abstract :
Due to the limited availability of energy within network nodes, energy-efficient routing mechanism is one of the most critical issues in wireless sensor networks. In this paper, we propose a multi-path routing algorithm with energy-aware based on ant colony system. The algorithm introduces three improved rules: Ant Marginalization Rule, State Transition Rule and Global Pheromone Update Rule to solve the problems of local convergence, local optimization and multi-path for transferring data respectively. It can avoid using up the energy of nodes on the optimal path while preserving network connectivity. Compared with traditional routing methods, simulation results demonstrate that the algorithm can help save energy and prolong the lifetime of the network.
Keywords :
optimisation; telecommunication network routing; wireless sensor networks; ant colony system; ant marginalization rule; energy efficient routing algorithm; global pheromone update rule; local convergence; local optimization; multipath routing algorithm; state transition rule; wireless sensor networks; Ant colony optimization; Computer networks; Distributed computing; Educational institutions; Energy consumption; Energy efficiency; Power engineering and energy; Routing; Sensor systems; Wireless sensor networks; ant colony system; energy consumption; multi-path routing; wireless sensor networks;
Conference_Titel :
Internet Computing for Science and Engineering (ICICSE), 2009 Fourth International Conference on
Conference_Location :
Harbin
Print_ISBN :
978-1-4244-6754-9
DOI :
10.1109/ICICSE.2009.27