Energy Optimization in Wireless Sensor Networks Under Dynamic Spectrum Access Using Adaptive Listening

Abstract

The efficient use of energy consumption in WSNETs is one of the most promising areas for researchers. In such networks, a considerable amount of bandwidth and energy is wasted for sensing the communication over the common channels. To recognise these complications, WSNETs offers dynamic allocation of the spectrum to optimise the bandwidth utilization. The S-MAC protocol which is based upon Time Division Multiple Access technique has already been proven as a better protocol for the efficient use of energy at MAC Layer. We revised all the patents related to the energy issues in Wireless Sensor Networks. The Hidden terminal problem is a well-known issue in wireless networks due to which the performance of the single-channel medium access protocols is affected. An adaptive listening technique at the MAC Layer was exploited under Dynamic Spectrum Access to address the issue. Adaptive listening proposes a dynamic sleep/idle period based on the data transmission pattern. Thus, the S-MAC protocol further improves the performance in terms of energy consumption and bandwidth utilization at the MAC Layer. The performance of this proposed model is compared with other protocols like IEEE 802.11 and SMAC with periodic sleep. The proposed model offers better network throughput and better energy consumption as seen in these simulation results under various parameters.