Data Gathering Mechanism with Local Sink in Geographic Routing for Wireless Sensor Networks

被引:20
|
作者
Lee, Euisin [1 ]
Park, Soochang [1 ]
Yu, Fucai [2 ]
Kim, Sang-Ha [1 ]
机构
[1] Chungnam Natl Univ, Dept Comp Engn, Taejon, South Korea
[2] UESTC, Key Lab Broadband Opt Fiber Transmiss & Commun Ne, Chengdu, Peoples R China
基金
新加坡国家研究基金会;
关键词
Wireless sensor networks; Geographic Routing; Data gathering and aggregating; Global sink; Local sink; PROTOCOL;
D O I
10.1109/TCE.2010.5606280
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
Most existing geographic routing protocols on sensor networks concentrates on finding ways to guarantee data forwarding from the source to the destination, and not many protocols have been done on gathering and aggregating data of sources in a local and adjacent region. However, data generated from the sources in the region are often redundant and highly correlated. Accordingly, gathering and aggregating data from the region in the sensor networks is important and necessary to save the energy and wireless resources of sensor nodes. We introduce the concept of a local sink to address this issue in geographic routing. The local sink is a sensor node in the region, in which the sensor node is temporarily selected by a global sink for gathering and aggregating data from sources in the region and delivering the aggregated data to the global sink. We next design a Single Local Sink Model for determining optimal location of single local sink. Because the buffer size of a local sink is limited and the deadline of data is constrained, single local sink is capable of carrying out many sources in a large-scale local and adjacent region. Hence, we also extend the Single Local Sink Model to a Multiple Local Sinks Model. We next propose a data gathering mechanism that gathers data in the region through the local sink and delivers the aggregated data to the global sink. Simulation results show that the proposed mechanism is more efficient in terms of the energy consumption, the data delivery ratio, and the deadline miss ratio than the existing mechanisms(1).
引用
收藏
页码:1433 / 1441
页数:9
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