Optimal Data Compression and Forwarding in Wireless Sensor Networks

被引：20
|
作者：
Tavli, Bulent [1 ]
Bagci, Ibrahim E. [1 ]
Ceylan, Onur [1 ]
机构：
[1] TOBB Univ Econ & Technol, Dept Comp Engn, TR-06560 Ankara, Turkey
来源：
IEEE COMMUNICATIONS LETTERS | 2010年 / 14卷 / 05期
关键词：
Tunable data compression; wireless sensor networks; linear programming; energy efficiency; network lifetime;
D O I：
10.1109/LCOMM.2010.05.092372
中图分类号：
TN [电子技术、通信技术];
学科分类号：
0809 ;
摘要：
In this letter, we present a Linear Programming framework for modeling dynamic data compression and decompression in conjunction with flow balancing in wireless sensor networks. Using the developed framework, we investigated the sensor network lifetimes for different network sizes with various data compression and flow balancing strategies. Our results show that neither compressing all data nor avoiding data compression completely can achieve the longest possible network lifetime. Dynamic data transformation is shown to achieve significantly longer network lifetimes than the lifetimes obtained with the two pure strategies above.
引用
收藏
页码：408 / 410
页数：3
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