Power Management in Wireless Sensor Network

被引:0
|
作者
Goyal, Deepti [1 ]
Sonal [1 ]
机构
[1] BPSMV Khanpur Kalan, Dept CSE & IT, Sonipat 131301, India
来源
PROCEEDINGS OF THE 10TH INDIACOM - 2016 3RD INTERNATIONAL CONFERENCE ON COMPUTING FOR SUSTAINABLE GLOBAL DEVELOPMENT | 2016年
关键词
Wireless Sensor Networks (WSN); Power Conserving; Maximum Power Point Tracking (MPPT); Power Control; Power Management; Energy Harvesting; Sleep/awake;
D O I
暂无
中图分类号
TP301 [理论、方法];
学科分类号
081202 ;
摘要
Wireless Sensor Network has greatly evolved the energy efficient utilization. In WSN sensor nodes, have limited energy budget so this paper mainly focus on harvesting of energy and power saving. The selection of cooperation nodes must be a long time usable batteries because batteries are not easily rechargeable and available which is not reliable. The selection of such nodes to reduce error estimation and power conserving. In this paper focus on algorithms, approaches and techniques which deals how to increase efficiency of battery. For efficient energy stable power and long term system adopts a Maximum power point tracking (MPPT) circuitry. In power saving techniques employs power control and power management techniques. Power control includes two factors distance and link factor which affect the power transmission. Power management schema use energy harvesting schemes on different nodes by sleep/awake method. Energy efficient algorithms increase efficiency of power and life time of battery.
引用
收藏
页码:598 / 601
页数:4
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