Performance Analysis for Efficient Data Collection with path Constrained Mobile sink Using SPMA Scheme in WSNs

نویسنده

  • Sheetal Raina
چکیده

A crucial issue for data collection in wireless sensor networks is that the energy consumption of the sensor nodes placed near the sink is very high. This is because the sensors placed near the sink have to forward the data to the sink on behalf of others resulting in the depletion of energy quickly, which will lead to network partitioning and limitation in the network lifetime. In order to solve this issue, mobile sinks are introduced, which changes their location when then nearby sensor’s energy becomes low. Thus the sensors placed near sinks always change over time. According to the recent study, it has been proved that that the sink mobility along a constrained path can improve energy efficiency in wireless sensor networks. However, due to the path constrained, the mobile sink has limited communication time to collect data from sensor nodes which are placed randomly. To solve this issue, the Shortest Path Member Assignment Scheme(SPMAS) is proposed which will improve the energy efficiency as well as throughput by providing the optimal assignment of sensor nodes. To implement SPMAS scheme, the two-phase communication protocol based on zone partition is designed. In addition to this, the proposed schemes is designed to work on different scenarios by varying the speed of mobile sink as well as by considering the link error probabilities of the sensor networks. The proposed system is validated using NS-2.

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تاریخ انتشار 2013