Abstract
Wireless Sensor Networks (WSNs) are becoming an active area of research. They consist of small nodes with limited sensing, computation and wireless communication capabilities. The success of WSNs in real world applications is primarily dependent on a key requirement: ability to provide a communication infra-structure for dissemination of sensed data to a sink node in an energy efficient manner. Therefore, in this paper we propose a bee-inspired power aware routing protocol, BeeSensor, that utilizes a simple bee agent model and requires little processing and network resources. The results of our extensive experiments demonstrate that BeeSensor delivers better performance in a dynamic WSNs scenario as compared to a WSN optimized version of Adhoc On-demand Distance Vector (AODV) protocol while its computational and bandwidth requirements are significantly smaller.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
References
Al-Karaki, J.N., Kamal, A.E.: Routing techniques in wireless sensor networks: A survey. IEEE Wireless Communications 11(6), 6–28 (2004)
Camilo, T., Carreto, C., Silva, J.S., Boavida, F.: An energy-efficient ant-based routing for wireless sensor networks. In: Int. Workshop on Ant Colony Optimization and Swarm Intelligence, ANTS 2006 (September 2006)
Caro, G.D., Dorigo, M.: AntNet: Distributed stigmergetic control for communication networks. Journal of Artificial Intelligence Research 9, 317–365 (1998)
Heinzelman, W.R., Chandrakasan, A., Balakrishnan, H.: Energy-efficient communication protocol for wireless microsensor networks. In: Proceedings of 33rd Hawaii Int’l. Conference on System Sciences (January 2000)
Heinzelman, W.R., Kulik, J., Balakrishnan, H.: Adaptive protocols for information dissemination in wireless sensor networks. In: Proceedings of MobiCom 99, Seattle, WA (August 1999)
Intanagonwiwat, C., Govindan, R., Estrin, D., Heidemann, J., Silva, F.: Directed diffusion for wireless sensor networking. IEEE/ACM Transactions on Networking, 11(1) (February 2003)
Lindsey, S., Raghavendra, C.S.: Pegasis: Power-efficient gathering in sensor information systems. In: Proceedings of IEEE Aerospace Conf. (March 2002)
Raghavendra, C.S., Krishna, K.M.S., Znati, T.: Wireless Sensor Networks. Springer-Verlag, Berlin Heidelberg New York (2004)
Wedde, H.F., Farooq, M., Pannenbaecke, T., Vogel, B., Mueller, C., Meth, J., Jeruschkat, R.: Beeadhoc: an energy efficient routing algorithm for mobile ad hoc networks inspired by bee behavior. In: Proceedings of conference on Genetic and evolutionary computation GECCO ’05 (June 2005)
Wedde, H.F., Farooq, M., Zhang, Y.: BeeHive: An efficient fault-tolerant routing algorithm inspired by honey bee behavior. In: Dorigo, M., Birattari, M., Blum, C., Gambardella, L.M., Mondada, F., Stützle, T. (eds.) ANTS 2004. LNCS, vol. 3172, pp. 83–94. Springer, Berlin Heidelberg New York (2004)
Yu, Y., Estrin, D., Govindan, R.: Geographical and energy-aware routing: A recursive data dissemination protocol for wireless sensor networks. UCLA Computer Science Department Technical Report, UCLA-CSD TR-01-0023 (May 2001)
Zhang, Y.: Routing modeling application simulation environment. http:// www2.parc.com/isl/groups/era/nest/Rmase/.
Zhang, Y., Kuhn, L.D., Fromherz, M.P.J.: Improvements on ant routing for sensor networks. In: Int. Workshop on Ant Colony Optimization and Swarm Intelligence, ANTS. 2004 (September 2004)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2007 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Saleem, M., Farooq, M. (2007). BeeSensor: A Bee-Inspired Power Aware Routing Protocol for Wireless Sensor Networks. In: Giacobini, M. (eds) Applications of Evolutionary Computing. EvoWorkshops 2007. Lecture Notes in Computer Science, vol 4448. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-71805-5_9
Download citation
DOI: https://doi.org/10.1007/978-3-540-71805-5_9
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-71804-8
Online ISBN: 978-3-540-71805-5
eBook Packages: Computer ScienceComputer Science (R0)