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• W1978261567 startingPage "2984" @default.
• W1978261567 abstract "An important issue of research in wireless sensor networks (WSNs) is to dynamically organize the sensors into a wireless network and route the sensory data from sensors to a sink. Clustering in WSNs is an effective technique for prolonging the network lifetime. In most of the traditional routing in clustered WSNs assumes that there is no obstacle in a field of interest. Although it is not a realistic assumption, it eliminates the effects of obstacles in routing the sensory data. In this paper, we first propose a clustering technique in WSNs named energy-efficient homogeneous clustering that periodically selects the cluster heads according to a hybrid of their residual energy and a secondary parameter, such as the utility of the sensor to its neighbors. In this way, the selected cluster heads have equal number of neighbors and residual energy. We then present a route optimization technique in clustered WSNs among obstacles using Dijkstra's shortest path algorithm. We demonstrate that our work reduces the average hop count, packet delay, and energy-consumption of WSNs." @default.
• W1978261567 created "2016-06-24" @default.
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• W1978261567 date "2015-05-01" @default.
• W1978261567 modified "2023-10-18" @default.
• W1978261567 title "Geographic Routing in Clustered Wireless Sensor Networks Among Obstacles" @default.
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• W1978261567 doi "https://doi.org/10.1109/jsen.2014.2385734" @default.
• W1978261567 hasPublicationYear "2015" @default.
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