Reducing Multicast Power Consumption in Wireless Sensor Networks Nodes

被引：0

作者：

Ajibesin, Adeyemi Abel ^{[1
]}

Nche, Charles ^{[1
]}

Wajiga, Gregory M. ^{[2
]}

Odekunle, Mathew R. ^{[2
]}

机构：

[1] Amer Univ Nigeria, Sch Informat Technol & Commun, Yola, Nigeria

[2] Modibbo Adama Univ Technol, Dept Comp Sci, Yola, Nigeria

来源：

PROCEEDINGS OF THE 2014 IEEE 6TH INTERNATIONAL CONFERENCE ON ADAPTIVE SCIENCE AND TECHNOLOGY (ICAST 2014) | 2014年

关键词：

Performance evaluation; multicasting; power efficiency; WSNs; network modeling and analysis; HEURISTIC ALGORITHMS; TRANSMISSION; EFFICIENCY; BROADCAST;

D O I：

暂无

中图分类号：

TP39 [计算机的应用];

学科分类号：

081203 ; 0835 ;

摘要：

Several studies have shown that the power consumption of Information and Communications Technology (ICT) nodes account for up to 3% of the worldwide power supply and that they are responsible for 2% of the global carbon dioxide (CO2) emission. However, several initiatives are being put in place to reduce the power consumption of the ICT sector in general. To this goal, we propose a novel model. The new model, which is developed based upon input-oriented Chanes, Cooper and Rhodes (CCR) data envelopment analysis (DEA) methodology is an alternative solution to the existing minimum power multicast methodology that is developed using Multicast Incremental Power (MIP) algorithm. The simulation result of the MIP algorithm is compared with the empirical DEA model, and the results, using DEA implementation, show that it is possible to further reduce the average multicast power in Wireless Sensor Networks (WSNs) if they operate efficiently.

引用

页数：7

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