Fuzzy Based Ant Colony Optimization Approach for Wireless Sensor Network-Reference-Cited by-同舟云学术

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Fuzzy Based Ant Colony Optimization Approach for Wireless Sensor Network

Published:2015-05-28 Issue:1 Volume:84 Page:361-375
ISSN:0929-6212
Container-title:Wireless Personal Communications
language:en
Short-container-title:Wireless Pers Commun

Author:

Tomar Geetam Singh,Sharma Tripti,Kumar Brijesh

Publisher

Springer Science and Business Media LLC

Subject

Electrical and Electronic Engineering,Computer Science Applications

Link

http://link.springer.com/content/pdf/10.1007/s11277-015-2612-y.pdf

Reference20 articles.

1. Shen, C. C., Srisathapornphat, C., & Jaikaeo, C. (2001). Sensor information networking architecture and applications. IEEE Personal Communications Magazine, 8(4), 52–59.

2. Heinzelman, W. R., Chandrakasan, A., & Balakrishna, H. (2000). Energy-efficient communication protocol for wireless microsensor networks. In Proceedings of the 33rd Annual Hawaii International Conference on System Sciences (HICSS-33 ‘00), Maui, Hawaii, Maui (pp. 3005–3014).

3. Gupta, I., Riordan, D., & Sampalli, S. (2005). Cluster-head election using fuzzy logic for wireless sensor networks. In Proceedings of the 3rd Annual Communication Networks and Services Research Conference, Canada (pp. 255–260).

4. Yick, J., Mukherjee, B., & Ghosal, D. (2008). Wireless sensor network survey. Computer Networks, 52(12), 2292–2330.

5. Jiang, N., Zhou, R., Yang, S., & Ding, Q. (2009). An improved ant colony broadcasting algorithm for wireless sensor networks. International Journal of Distributed Sensor Networks, 5(1), 45–45.

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