Research ArticleOpen AccessGoogle Scholar indexed
Optimizing Inter Cluster Ant Colony Optimization Data Aggregation Algorithm with Rendezvous Nodes and Mobile Sink
Electronics & Communication Engineering, Guru Nanak Dev University, Regional Campus Jalandhar, Jalandhar, India
- 1 Electronics & Communication Engineering, Guru Nanak Dev University, Regional Campus Jalandhar, Jalandhar, India
Wireless Sensor Network·Volume 09 (2017)·Pages 16–24·Published 17 January 2017·DOI10.4236/wsn.2017.91002
Copy link · social · email
Abstract
Energy conservation is becoming the main critical issue in wireless sensor network and also the main research area for most of the researchers. For improving the energy efficiency, sink mobility is used with constrain path in wireless sensor network. In order to solve these optimization problems, inter cluster Ant Colony Optimization Algorithm (ACO) is used with mobile sink (MS) and rendezvous nodes (RN). The proposed algorithm will improve 30% more network lifetime than the existing algorithm and prompts high accurate delivery of packets in highly dense network. a
KeywordsWSNClusteringACO Ant Colony OptimizationMS Mobile SinkRP Rendezvous Point
- Munjal, R. and Malik, B. (2012) Approach for Improvement in LEACH Protocol for Wireless Sensor Network. Proceedings of 2nd IEEE International Conference on Advanced Computing & Communication Technologies, Rohtak, 7-8 January 2012, 517-521. https://doi.org/10.1109/acct.2012.30
- Virmani, D., Sharma, T. and Sharma, R. (2013) Adaptive Energy Aware Data Aggregation Tree for Wireless Sensor Networks. International Journal of Hybrid Information Technology, 6, 26-36.
- Singhal, S., Gankotiya, A., Kumar, A. and Shikha, V. (2012) An Investigation of Wireless Sensor Network: A Distributed Approach in Smart Environment. Proceedings of 2nd IEEE International Conference on Advanced Computing & Communication Technologies, Rohtak, 7-8 January 2012, 522-529. https://doi.org/10.1109/acct.2012.22
- Saeid, M. and Zahabi, M.R. (2015) Optimizing LEACH Clustering Algorithm with Mobile Sink and Rendezvous Nodes. AEU-International Journal of Electronics and Communications, 69, 507-514. https://doi.org/10.1016/j.aeue.2014.10.021
- Dorigo, M., Birattari, M. and Stutzle, T. (2006) Ant Colony Optimization. Published in IRIDIA, Institut de Recherches Interdisciplinaires et de D’eveloppements en Intelligence Artificielle UNIVERSITE’ LIBRE DE BRUXELLES Av F. D. Roosevelt 50, CP 194/6 1050 Bruxelles, Belgium.