Energy-Aware Sensor Networks via Sensor Selection and Power Allocation
KAUST DepartmentComputer, Electrical and Mathematical Sciences and Engineering (CEMSE) Division
Electrical Engineering Program
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AbstractFinite energy reserves and the irreplaceable nature of nodes in battery-driven wireless sensor networks (WSNs) motivate energy-aware network operation. This paper considers energy-efficiency in a WSN by investigating the problem of minimizing the power consumption consisting of both radiated and circuit power of sensor nodes, so as to determine an optimal set of active sensors and corresponding transmit powers. To solve such a mixed discrete and continuous problem, the paper proposes various sensor selection and power allocation algorithms of low complexity. Simulation results show an appreciable improvement in their performance over a system in which no selection strategy is applied, with a slight gap from derived lower bounds. The results further yield insights into the relationship between the number of activated sensors and its effect on total power in different regimes of operation, based on which recommendations are made for which strategies to use in the different regimes.
CitationNiyazi LB, Chaaban A, Dahrouj H, Al-Naffouri TY, Alouini M-S (2017) Energy-Aware Sensor Networks via Sensor Selection and Power Allocation. 2017 IEEE 86th Vehicular Technology Conference (VTC-Fall). Available: http://dx.doi.org/10.1109/VTCFall.2017.8288354.
SponsorsHayssam Dahrouj would like to thank Effat University in Jeddah, Saudi Arabia, for funding the research reported in this paper through the Research and Consultancy Institute.
Conference/Event name86th IEEE Vehicular Technology Conference, VTC Fall 2017