Abstract
A new Medium Access Control (MACSA) scheduling algorithm is considered to simultaneously optimize these four problems. Therefore, the geographic distribution of sensor nodes takes into account the limitations of coverage and network connectivity. Optimal sensor placement based on square grids and ON/OFF scheduling approaches based on duty cycle methods can reduce the energy consumption of sensor nodes. In addition, the MACSA algorithm provides full coverage of the monitored region and ensures optimal network connectivity. First, we design and test the MACSA analytically. Secondly, through extensive simulations, we show that MACSA significantly reduces the number of ON sensors powered, and therefore the energy consumed during data transport, by up to 30%.
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