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Energy-efficient data collection under precision constraints in wireless sensor networks

机译:无线传感器网络精度约束下的节能数据采集

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摘要

Since nodes in wireless sensor networks (WSN) are energy-limited, energy-efficiency in collaborative applications is a technological barrier to expand them. One possible solution is to exploit data reported by nodes because they are in most cases correlated in time and space. In this paper, we define a novel binary integer linear program to resolve the problem of energy minimisation under data precision constraints (EMDP). This program helps us determine the most appropriate nodes and give each one of them a specific role in data collection based on data correlation. Given the complexity of EMDP, we propose a heuristic solution (CORAD) to structure the network topology into multi-hop reconfigurable clusters. Supported by numerical simulations, CORAD is shown to be an acceptable solution to the EMDP problem.
机译:由于无线传感器网络 (WSN) 中的节点是能源有限的,因此协作应用中的能效是扩展它们的技术障碍。一种可能的解决方案是利用节点报告的数据,因为它们在大多数情况下在时间和空间上是相关的。本文定义了一种新颖的二元整数线性规划,以解决数据精度约束(EMDP)下的能量最小化问题。该程序帮助我们确定最合适的节点,并根据数据相关性为每个节点在数据收集中赋予特定角色。鉴于EMDP的复杂性,我们提出了一种启发式解决方案(CORAD),将网络拓扑结构构建为多跳可重构集群。在数值模拟的支持下,CORAD被证明是EMDP问题的可接受解决方案。

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