Abstract
In wireless sensor networks, the most commonly used model for data aggregation is client-server; where each node send its collected data to the sink. With the growing size of the network this model become inefficient, because of the huge amount of the data that should be processed to the sink, therefore mobile agent model present a good alternative to the traditional client-server model. In this model a mobile code migrate to the source nodes to collect data. It has been proven that planning itinerary for the mobile agent is a NP-Hard problem. In this paper, we present a hybrid scheme of client-server and mobile agent. At first we organize nodes in clusters, then select a node at the center as cluster head that will be responsible of clusters’ data collection, after that we plan the itinerary among those cluster heads using minimum spanning tree, then dispatch the mobile agent to collect data from cluster heads. Simulations results show that our novel proposed scheme perform better in comparison to the existing schemes.
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El Fissaoui, M., Beni-Hssane, A., Saadi, M. (2017). Energy Aware Hybrid Scheme of Client-Server and Mobile Agent Models for Data Aggregation in Wireless Sensor Networks. In: Abraham, A., Haqiq, A., Alimi, A., Mezzour, G., Rokbani, N., Muda, A. (eds) Proceedings of the 16th International Conference on Hybrid Intelligent Systems (HIS 2016). HIS 2016. Advances in Intelligent Systems and Computing, vol 552. Springer, Cham. https://doi.org/10.1007/978-3-319-52941-7_23
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DOI: https://doi.org/10.1007/978-3-319-52941-7_23
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