Conference paper
Performance of Termite-hill routing algorithm on sink mobility in wireless sensor networks
Advances in Swarm Intelligence Third International Conference, ICSI 2012 Shenzhen, China, June 17-20, 2012 Proceedings, Vol.2, pp.334-343
International Conference in Swarm Intelligence (ICSI), 3rd (Shenzen, China, 17-Jun-2012–20-Jun-2012)
Lecture Notes in Computer Science, Springer Berlin Heidelberg
2012
Abstract
High efficient and energy-aware routing is an important issue for the design of resource constrained environments like Wireless Sensor Networks (WSNs). Many protocols have been developed for WSN that try to overcome the constraints that characterized this type of networks. Termite based routing protocols can add a significant contribution to assist in the maximization of the network lifetime without performance degradation. But this is only possible by means of an adaptable and balanced algorithm that takes into account the main constraints of WSN. This paper presents a biological inspired self-organized routing protocol for WSN which is based on termite colony optimization metaheuristic termed Termite-hill. The main objective of the proposed algorithm is to efficiently relay all the traffic destined for the sink, and also balance the network energy. The results of our extensive experiments on Routing Modeling Application Simulation Environment (RMASE) demonstrated that with sink mobility, our proposed routing algorithm was able to balance the network traffic load and prolong the network lifetime without performance degradation.
Details
- Title
- Performance of Termite-hill routing algorithm on sink mobility in wireless sensor networks
- Authors
- A M Zungeru (Author) - University of Nottingham Malaysia CampusLi-Minn Ang (Author) - Edith Cowan UniversityK P Seng (Author) - Sunway University
- Contributors
- Ying Tan (Editor)Yuhui Shi (Editor) - Southern University of Science and TechnologyJi Zhen (Editor)
- Publication details
- Advances in Swarm Intelligence Third International Conference, ICSI 2012 Shenzhen, China, June 17-20, 2012 Proceedings, Vol.2, pp.334-343
- Conference details
- International Conference in Swarm Intelligence (ICSI), 3rd (Shenzen, China, 17-Jun-2012–20-Jun-2012)
- Series
- Lecture Notes in Computer Science
- Publisher
- Springer Berlin Heidelberg
- Date published
- 2012
- DOI
- 10.1007/978-3-642-31020-1_39; 10.1007/978-3-642-31020-1
- ISSN
- 0302-9743; 1611-3349; 0302-9743
- ISBN
- 3642310206; 9783642310201
- Organisation Unit
- University of the Sunshine Coast, Queensland; School of Science, Technology and Engineering; Engage Research Lab
- Language
- English
- Record Identifier
- 99513904902621
- Output Type
- Conference paper
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