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Design Approach of Self-Organized Routing Protocol in Wireless Sensor Networks Using Biologically Inspired Methods

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Proceedings of Ninth International Conference on Wireless Communication and Sensor Networks

Part of the book series: Lecture Notes in Electrical Engineering ((LNEE,volume 299))

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Abstract

Wireless sensor networks are composed of a large number of nodes equipped with radios for wireless communication, sensors for sensing the environment, and CPU’s for processing applications and protocols. A significant number of wireless sensor networks consist of battery-powered nodes to be able to operate unattended. Such networks require autonomy of management (self-organization), robustness, scalability, fault tolerance, and energy efficiency in all aspects of their operation. These properties are especially important for routing, since multi-hop communication is a primitive wireless sensor network operation that is robust, scalable, and adaptive with fault-prone as well as energy intensive. The objective is to design the routing protocol for robustness in self-organization in wireless sensor networks. In this paper, we try to design the novel architecture of robustness in self-organization with the consideration of three different bioinspired methods, i.e., BeeSensor, self-organized data gathering scheme (SDG), and AntHocnet for comparative study.

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Acknowledgments

We thanks to all referenced authors for their research contribution as guidelines and valuable support for doing the research work and my guide Dr. L.G. Malik for guidance in research work.

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Correspondence to A. N. Thakare .

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Thakare, A.N., Malik, L.G. (2014). Design Approach of Self-Organized Routing Protocol in Wireless Sensor Networks Using Biologically Inspired Methods. In: Maringanti, R., Tiwari, M., Arora, A. (eds) Proceedings of Ninth International Conference on Wireless Communication and Sensor Networks. Lecture Notes in Electrical Engineering, vol 299. Springer, New Delhi. https://doi.org/10.1007/978-81-322-1823-4_19

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  • DOI: https://doi.org/10.1007/978-81-322-1823-4_19

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