Improved structures for data collection in static and mobile wireless sensor networks

被引:6
|
作者
Crowcroft, Jon [1 ]
Segal, Michael [2 ]
Levin, Liron [2 ]
机构
[1] Univ Cambridge, Comp Lab, Cambridge CB2 3QG, England
[2] Ben Gurion Univ Negev, Dept Commun Syst Engn, Beer Sheva, Israel
基金
英国工程与自然科学研究理事会;
关键词
Wireless sensor networks; Optimization algorithms; Approximation guarantees; Data gathering; TRANSPORT CAPACITY; APPROXIMATION ALGORITHMS; RADIO NETWORKS; BROADCAST; COMMUNICATION; CONSTRUCTION; TRANSMISSION; AGGREGATION; ASSIGNMENT;
D O I
10.1007/s10732-014-9250-5
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
In this paper we consider the problem of efficient data gathering in sensor networks for arbitrary sensor node deployments. The efficiency of the solution is measured by a number of criteria: total energy consumption, total transport capacity, latency and quality of the transmissions. We present a number of different constructions with various tradeoffs between aforementioned parameters. We provide theoretical performance analysis for our approaches, present their distributed implementation and discuss the different aspects of using each. We show that in many cases our output-sensitive approximation solution performs better than the currently known best results for sensor networks. We also consider our problem under the mobile sensor nodes environment, when the sensors have no information about each other. The only information a single sensor holds is its current location and future mobility plan. Our simulation results validate the theoretical findings.
引用
收藏
页码:233 / 256
页数:24
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