Abstract
Proper message transmission among nodes in a non-topological environment has always been a major concern. As there is no predefined end to end path between sender-destination node pairs, very limited predictable information exists about the network among nodes. Hence this area has been drawing attention and potential research. GAER (genetic algorithm-based energy-efficient routing protocol) (Dhurandher et al. J Supercomput Springer 69(3):1183–1214, 2014) is one of the latest routing protocols to catalyse the ease of message delivery by intelligently predicting delivery locations, using genetic algorithm over nodes’ information available in the network. Genetic algorithm uses crossover mechanism to reproduce new set of chromosomes, which further can be used to predict informative results. In this paper, GAER protocol has been analysed over different crossover techniques with an agenda to increase its efficiency by using optimal technique.
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Sharma, D.K., Dhurandher, S.K., Saini, A. (2018). Performance Evaluation of GAER Over Various Crossover Techniques in Opportunistic Networks. In: Woungang, I., Dhurandher, S. (eds) International Conference on Wireless, Intelligent, and Distributed Environment for Communication. WIDECOM 2018. Lecture Notes on Data Engineering and Communications Technologies, vol 18. Springer, Cham. https://doi.org/10.1007/978-3-319-75626-4_7
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