Abstract
Wireless sensors network is widely deployed in many areas such as smart homes and Internet of Things (IoT). However, since the limited energy source is a primary concern in the improvement and practical use of WSN, it is necessary to improve the energy efficiency. The backoff mechanism implemented in the WSN communication protocol is a key element in ensuring energy-efficient communication between sensor nodes. Many of the previous backoff approaches perform well on light to moderately loaded networks. However, on a heavily loaded network, the performance degrades significantly. In this paper, we devise a novel adaptive scheme which estimates network traffic using data arrival rate to improve the network throughput and the energy efficiency. We develop a Markov model for the proposed scheme with the provision of numerical analysis. The simulation results show that the proposed scheme significantly improves the energy efficiency and throughput.
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