Genetic Algorithms in Engineering and Computer Science
Genetic Algorithms in Engineering and Computer Science
Wireless sensor networks for habitat monitoring
WSNA '02 Proceedings of the 1st ACM international workshop on Wireless sensor networks and applications
Efficient algorithms for maximum lifetime data gathering and aggregation in wireless sensor networks
Computer Networks: The International Journal of Computer and Telecommunications Networking
Lifetime Modeling of a Sensor Network
Proceedings of the conference on Design, Automation and Test in Europe - Volume 1
Markov chain models for genetic algorithm based topology control in MANETs
EvoCOMNET'10 Proceedings of the 2010 international conference on Applications of Evolutionary Computation - Volume Part II
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Since data communications consume the most energy of sensor networks, it is reasonable to take efficient traffic balancing to prolong the lifetime. In addition, the traffic aggregation is a main characteristic that distinguish sensor networks from others e.g. Internet and MANET. Therefore, an optimal traffic distribution will maximize the network lifetime. Furthermore, sensor networks are generally developed for special applications. If different sensor networks deployed in the same region can cooperate with each other in data transmission, their lifetimes can be improved remarkably. In this paper, we propose a genetic algorithm to achieve optimal traffic distribution on multi-sensor networks and show its efficiency by experiments.