Title :
Data Gathering Communication in Wireless Sensor Networks Using Ant Colony Optimization
Author :
Ding, Niannian ; Liu, Peter Xiaoping
Author_Institution :
Dept. of Syst. & Comput. Eng., Carleton Univ., Ottawa, Ont.
Abstract :
This paper introduces a centralized approach to data gathering and communication for wireless sensor networks. Inspired by the social behaviors of ants, we clearly partition the work for the base station and sensor nodes according to their different functions and capabilities. A near-optimal chain is achieved by using an ant colony optimization method ruing in the base station. The sensor nodes in the network then form a bi-direction chain structure, which is self-adaptive to any minor changes. The simulation results show that the developed AntChain algorithm performs much better than the LEACH and PEGASIS methods, in terms of energy-efficiency, data integrity and life time, when the base station
Keywords :
centralised control; data acquisition; data communication; data integrity; evolutionary computation; self-adjusting systems; wireless sensor networks; AntChain algorithm; LEACH method; PEGASIS method; ant colony optimization; data collection; data gathering communication; data integrity; sensor nodes; wireless sensor networks; Ant colony optimization; Base stations; Biosensors; Energy efficiency; Head; Intelligent networks; Peer to peer computing; Power supplies; Sensor phenomena and characterization; Wireless sensor networks; Ant Coloney Optimazation; data collection; sensor network;
Conference_Titel :
Robotics and Biomimetics, 2004. ROBIO 2004. IEEE International Conference on
Conference_Location :
Shenyang
Print_ISBN :
0-7803-8614-8
DOI :
10.1109/ROBIO.2004.1521890
