Abstract
Genetic algorithm is a very popular optimization technique in artificial intelligence. In mobile ad hoc networks (MANETs), all the devices are battery operated. The power consumption at nodes in transferring the data is a big issue in MANETs. In this paper, a new protocol for routing in MANETs using genetic algorithms is proposed. This protocol uses the power of genetic algorithms to find a path that consumes minimum power in transferring the data from source to destination node. Simulation results prove that the proposed algorithm performs better than the previous algorithms.
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
References
Abolhasan, M., Winsock, T.A., Dutkiewicz, E.: A review of routing protocols for mobile ad hoc networks. Ad Hoc Netw. 2(1), 1–22 (2004)
Basagni, S., Conti, M., Giordano, S., Stojmenovic, I.: Mobile Ad Hoc Networking. Wiley-IEEE Press (2004)
Brown, W.W., Marano, V., MacCorkell, W.H., Krout, T.: Future combat system-scalable mobile network demonstration performance and validation results. MILCOM, IEEE Volume 2, Issue, 13–16 Oct 2003, pp. 1286–1291 (2003)
Cui, Y., Xue, Y., Nahrstedt, K.: A utility-based distributed maximum lifetime routing algorithm for wireless networks Vehicular Technology. IEEE Trans. Veh. Technol. 55(3), 797–805 (2006)
Goldberg, D.E.: Genetic Algorithms in Search, Optimization & Machine Learning. Addison-Wesley (1989)
Ingelrest, F., Simplot-Ryl, D., Stojmenovic, I.: Energy-Efficient Broadcasting in Wireless Mobile Ad Hoc Networks Resource Management in Wireless Networking, pp. 543–582. Springer, Berlin (2005)
Johnson, D.B., Maltz, D.A., Hu, Y.C.: The dynamic source routing protocol for mobile ad hoc networks (DSR) http://tools.ietf.org/id/draft-ietf-manet-dsr-10.txt (2004)
Ramanathan, R., Redi, J.: A brief overview of ad hoc networks: challenges and directions. IEEE Commun. Mag. 40(5), 20–22 (2002)
Ross, P., Marin-Blazquez, J.G., Schulenburg, S., Hart, E.: (2003) Learning a procedure that can solve hard bin-packing problems: a new GA-based approach to hyper-heuristics. Genetic and evolutionary computation - GECCO 2003, Springer, Berlin, LNCS 2724, pp. 1295–1306
Tseng, Y.C., Ni, S.Y., Chen, Y.S., Sheu, J.P.: The broadcast storm problem in a mobile ad hoc network Wireless Networks, vol. 8. Short version in MOBICOM 99, pp. 153–167 (2002)
Wedde, H.F., Farooq, M., Pannenbaecker, 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 Genetic and Evolutionary Computation Conference, pp. 153–160 (2005)
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2018 Springer Nature Singapore Pte Ltd.
About this paper
Cite this paper
Pawan, Sharma, R.K., Sharma, A.K., Jain, V. (2018). Genetic Algorithm-Based Routing Protocol for Energy Efficient Routing in MANETs. In: Lobiyal, D., Mansotra, V., Singh, U. (eds) Next-Generation Networks. Advances in Intelligent Systems and Computing, vol 638. Springer, Singapore. https://doi.org/10.1007/978-981-10-6005-2_4
Download citation
DOI: https://doi.org/10.1007/978-981-10-6005-2_4
Published:
Publisher Name: Springer, Singapore
Print ISBN: 978-981-10-6004-5
Online ISBN: 978-981-10-6005-2
eBook Packages: EngineeringEngineering (R0)