Energy-Aware Sensor Networks via Sensor Selection and Power Allocation

被引:0
|
作者
Niyazi, Lama B. [1 ]
Chaaban, Anas [2 ]
Dahrouj, Hayssam [1 ]
Al-Naffouri, Tareq Y. [2 ]
Alouini, Mohamed-Slim [2 ]
机构
[1] Effat Univ, Jeddah, Saudi Arabia
[2] KAUST, Thuwal, Saudi Arabia
来源
2017 IEEE 86TH VEHICULAR TECHNOLOGY CONFERENCE (VTC-FALL) | 2017年
关键词
Sensor selection; power minimization; distortion constraint;
D O I
暂无
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
Finite 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.
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页数:6
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