会议专题

Chaotic Ant Colony Based Routing Algorithm with Energy Prediction and QoS Guarantees for Wireless Sensor Networks

In the field of wireless sensor networks, it is a fundamental issue to balance efficient routing and energy cost via self-organization. Moreover, many applications require some QoS metrics, but not enough attention has been attracted. In this paper, an Energy prediction routing algorithm with adaptive QoS guarantees was proposed using Chaotic Ant Colony algorithm, EQCACA for short, to tackle the combination problem. Simulation results demonstrate the effectiveness of the proposed algorithm in terms of bandwidth, delay and packet loss rate compared with ant colony routing algorithm.

energy-efficient load balancing multi-path routing QoS chaotic ant colony algorithm

Nan Shen Chun-yan Yu Yun-fei Jiang

College of Mathematic and Computer Science, Fuzhou University, Fuzhou Fujian, China

国际会议

2011 4th International Conference on Biomedical Engineering and Informatics(第四届生物医学工程与信息学国际会议 BMEI 2011)

上海

英文

1818-1822

2011-10-15(万方平台首次上网日期,不代表论文的发表时间)