Compressive Network Coding based Mobile Data Gathering Technique for Wireless Sensor Networks

被引:0
|
作者
Palani, U. [1 ]
Mangai, V. Alamelu [1 ]
Nachiappan, Alamelu [2 ]
机构
[1] Annamalai Univ, Dept Elect & Instrumentat Engn, Annamalainagar 608001, Tamil Nadu, India
[2] Pondicherry Engn Coll, Dept Elect & Elect Engn, Pondicherry 605104, India
来源
2014 INTERNATIONAL CONFERENCE ON ADVANCED COMMUNICATION CONTROL AND COMPUTING TECHNOLOGIES (ICACCCT) | 2014年
关键词
Wireless Sensor Network; Relay hop; Mobile data Collector; Polling Points (PP); Compressive Network Coding (CNC); Shortest Path tree (SPT);
D O I
暂无
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
WSN consists of a large number of sensor nodes that monitor environmental conditions in a given geographic area. In many of the previous approaches, they have not considered the distance or the hop count during data gathering. This paper proposes the centralized algorithm that places the polling points (PPs) on the shortest path. The shortest path has been obtained through which the data is traversed. The subset of sensors will be selected as polling points that buffer locally aggregated data and upload the data to the mobile collector when it arrives. Then data compression is taking place using compressive Network Coding approach. By simulation results, it is observed that the proposed technique minimizes the energy consumption and delay there by increasing the packet delivery ratio.
引用
收藏
页码:951 / 957
页数:7
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