Cluster-based energy-efficient sensory data collection with mobile sinks

The ultimate goal of a sensor network is often to deliver the sensing data from all sensors to a sink node and then conduct further analysis at the sink node. Thus, data collection is one of the most common services used in sensor network applications. Wireless Sensor Networks applications involve a set of urban areas covered by sensor nodes which monitors environmental parameters. Mobile sinks mounted upon vehicles with fixed trajectories provide the ideal infrastructure to effectively retrieve sensory data from such isolated wireless sensor network fields. These nodes run the risk of rapid energy exhaustion resulting in loss of network connectivity and decreased network lifetime. Our proposed protocol aims at minimizing the overall network overhead and energy expenditure associated with the multihop data retrieval process while also ensuring balanced energy consumption among sensor nodes and prolonged network lifetime. This is achieved through building cluster structures consisted of member nodes that route their measured data to their assigned cluster head and by selecting number of representative nodes located in the periphery of the sensor field can be used as “rendezvous” nodes wherein sensory data from neighbor nodes may be collected and finally delivered to an mobile sink. Selection of rendezvous node and identification of the cluster Heads is done more efficiently by SVM algorithm.