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Optimization of Ant based Cluster Head Election Algorithm in Wireless Sensor Networks

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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Year of Publication: 2016
Authors:
Siddharth Kumar
10.5120/ijca2016910107

Siddharth Kumar. Optimization of Ant based Cluster Head Election Algorithm in Wireless Sensor Networks. International Journal of Computer Applications 144(2):5-9, June 2016. BibTeX

@article{10.5120/ijca2016910107,
	author = {Siddharth Kumar},
	title = {Optimization of Ant based Cluster Head Election Algorithm in Wireless Sensor Networks},
	journal = {International Journal of Computer Applications},
	issue_date = {June 2016},
	volume = {144},
	number = {2},
	month = {Jun},
	year = {2016},
	issn = {0975-8887},
	pages = {5-9},
	numpages = {5},
	url = {http://www.ijcaonline.org/archives/volume144/number2/25149-2016910107},
	doi = {10.5120/ijca2016910107},
	publisher = {Foundation of Computer Science (FCS), NY, USA},
	address = {New York, USA}
}

Abstract

Wireless Sensor Networks consist of inexpensive nodes that are positioned over an area to collect the useful information and send the valuable data to the base station for further processing. In wireless sensor networks, nodes have limited power and shorter lifetime. So, it is crucial to aggregate the data in Energy Efficient manner and optimize the lifetime of the network. To solve the issue, Ant Colony Optimization, a Swarm Intelligence based Routing Technique is used. The proposed system is a Routing Approach based on ACO Algorithm along with the Clustering approach in which Cluster Head is elected based on maximum value of energy and degree to maximize Energy Efficiency of the network and to increase the lifetime of the network. Performance obtained from the simulation results shows that the proposed approach provides an Optimized solution in terms of Enhanced Network Lifetime and Efficient Energy Utilization.

References

  1. Yick, J., Mukherjee, B., & Ghosal, D. (2008). Wireless sensor network survey. Elsevier, 52(2008), 2292-2330.
  2. Zungeru, A. M., Ang, L.-M., & Phoo, K. (2012). Classical and swarm intelligence based routing protocols for wireless sensor networks: A survey and comparison. Elsevier, 35(2012), 1508-1536.
  3. Zhu, X. (2007). Pheromone based energy aware directed diffusion algorithm for wireless sensor network. Proceedings of the international conference on intelligent computing (pp. 283-291). ICIC.
  4. Ramachandran, C., Misra, S., & Obaidat, M. (2008). Probabilistic zonal approach for swarm inspired wildfire detection using sensor networks. International Journal of Communication Systems, 1047-1073.
  5. Ziyadi, M., Yasami, K., & Abolhassani, B. (2009). Adaptive clustering for energy efficient wireless sensor networks based on ant colony optimization. Proceedings of the seventh annual communication networks and services research conference, (pp. 330-334) .
  6. Wang, G., Wang, Y., & Tao, X. (2009). An ant colony clustering routing algorithm for wireless sensor networks. Proceedings of third international conference on genetic and evolutionary computing (pp. 670-673). ICGEC.
  7. Camilo, T., Carreto, C., Silva, J., & Boavida, F. (2006). An energy efficient ant-based routing algorithm for wireless sensor networks. IEEE, 49-59.
  8. Jietai, W., Jiadong, X., & Mantian, X. (2009). EAQR: an energy-efficient ACO based QoS routing algorithm in wireless sensor networks. Chinese Journal of Electronics, 113-116.
  9. Peng, S., Yang, S., Gregori, S., & Tian, F. (2008). adaptive QoS and energy-aware routing algorithm for wireless sensor networks. IEEE2008, 578-583.
  10. Sharma, T., Kumar, B., Berry, K., Dhawan, A., Rathore, R. S., & Gupta, V. (2014). Ant Based Cluster Head Election Algorithm in Wireless Sensor Network to avoid Redundancy. IEEE, 1(2014), 83-88.

Keywords

Single hop packet progress, Next hop, Optimized ACO, Existing ACO