Ant Intelligence Routing Algorithm for Wireless Sensor Networks
In this paper, we present ant intelligence routing algorithm (AIRA), an adaptive, energy efficient and multiple-path protocol designed for wireless sensor networks. The primary goals of the protocol design are energy efficiency and self-organization without compromising throughput. AIRA reduces energy consumption by enabling low-duty-cycle operation and clocking neighbors to power of their radios to avoid unnecessary listening and interference during data transmission in a multihop network through adaptive sleeping technique. This greatly improves energy efficiency. It supports self-organization of individual nodes and reduces control overheads by using data packets themselves to maintain an established route for communication. Finally, AIRA applies synchronized sleeping technique to improve energy efficiency of the entire network. In an extensive set of simulations, we compare our routing algorithm with a state-of-the-art algorithm, and show that it gets better performance over a ranee of different scenarios
sensor networks energy efficiency ant colony based algorithms
Awudu Karim Xiaoming Zhang A. M. Oluyemi T. Fitarikandro
College of Computer and Communication Hunan University Changsha, China School of Information Science and Engineering Hunan University Changsha, China
国际会议
北京
英文
606-610
2011-08-24（万方平台首次上网日期，不代表论文的发表时间）