An Energy Efficient Data Collection for Mobile User With Cluster Points

Abstract

Wireless sensor networks is a distributed and non-transferable resource. Over time, variations in energy availability would likely to arise. Protocols will be similar to routing trees may concentrate energy handling at certain nodes. Differences in energy harvestshould arising from environmental variations, such as if one node is in the form of cluster and another is in the shade, can produce variations in charging rates and battery levels. We propose a novel approach for mobile users to collect the network-wide large data. The routing node structure of data collection is additively updated with the group of the mobile user. With this approaches, we only perform a limited modification to update the routing structure while the routing performance is bounded and controlled compared to the optimal performance. The proposed protocol is easy to implement. shows that the proposed scalable in maintenanceexpenses, performs efficiently in the routing performance, provides continuous data delivery during the user movement. We implement the proposed protocol an ns2 simulator to verify the efficiency of our proposed protocol