Power-aware Aggregated SEARCH: Enhancing Spectrum and Energy Efficiency of Sensor Networks

被引:0
|
作者
Gupta, Neeti [1 ]
Sharma, Vidushi [1 ]
机构
[1] Gautam Buddha Univ, Sch ICT, Greater Noida, India
来源
2018 7TH INTERNATIONAL CONFERENCE ON RELIABILITY, INFOCOM TECHNOLOGIES AND OPTIMIZATION (TRENDS AND FUTURE DIRECTIONS) (ICRITO) (ICRITO) | 2018年
关键词
Data aggregation; energy efficiency; Internet of Things (IoT); sensor networks; spectrum efficiency; DATA-COLLECTION;
D O I
暂无
中图分类号
TP301 [理论、方法];
学科分类号
081202 ;
摘要
Stochastic Election of Appropriate Range Cluster Heads (SEARCH) represents a semi-centralized, cluster head selection method that provides significant number of cluster heads in each round in a cost effective manner. The algorithm has been further refined for reduced energy consumption, higher throughput, improved stable period and therefore improved network lifetime by proposing Power-aware Aggregated SEARCH. Balancing the power requirement in the network along with local aggregation of data at the level of sensor nodes, result in significant improvement in throughput, reduced energy consumption and prolongs the lifetime of sensor network. The proposed technique paves a way to attain spectrum efficient IoT networks based on data aggregation at level of collector sensor nodes.
引用
收藏
页码:682 / 688
页数:7
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