SRCM: An Efficient Method for Energy Consumption Reduction in Wireless Body Area Networks based on Data Similarity
Mohammad Javad Khani and Zahra Shirmohammadi
Wireless Body Area Networks (WBANs) are one of the essential remedies for patient and elderly care. Due to the ageing population in the coming years and the occurrence of unknown and epidemic diseases in the future, the need for a mechanism such as WBANs to manage the limitation of hospital resources is felt more than ever. However, WBANs seriously face energy limitations, and the battery nodes in these networks have limited energy. Unlike other electronic equipment, replacing or charging the batteries of WBANs is not easily possible. Therefore, it is necessary to reduce the energy consumption in these networks and extend their lifetime. Although several methods have been proposed to reduce energy consumption, the critical point that has not been considered in previous methods is the similarity of the data. In this regard, in this paper first, a comprehensive study is done on the real data of MIMIC dataset to inspect data similarity in transferred data of WBANs. Then, an efficient method called Shorted Repeating Code Modulation (SRCM) based on data similarity is proposed. SRCM has four different steps of sampling, quantization, encoding and compression and uses the similarity of data to reduce energy consumption. This is done by reducing the amount of data sent during the sampling step. Data similarity is recognized by cross-correlation process to prevent transferring similar data. Simulations using MATLAB show that the use of SRCM has minimized the energy consumption of the network by 85.7%.Simulations using MATLAB show that the use of SRCM has minimised the energy consumption of the network by 85.7%.
Keywords: WBANs, Energy Consumption, Compress Data