Optimal weighted data gathering in multi-hop heterogeneous sensor networks

Junlin Li, G. AlRegib
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引用次数: 4

Abstract

We consider the problem of gathering data from an energy-limited wireless sensor network consisting of a set of sensor nodes and a sink node. Based on the heterogeneous nature of sensor networks, where data generated at different sensor nodes are of different fidelity and importance, we formulate the data gathering problem as maximizing the weighted sum of data generated at all sensors and turn it to a linear programming problem subject to the limited-energy constraints. Furthermore, we show that the optimal multi-hop routing for the weighted data gathering problem is character-based routing, where only ldquobadrdquo sensors relay data for ldquogoodrdquo sensors. An example application and simulation results are given to justify the proposed concept and algorithm.
多跳异构传感器网络的最优加权数据采集
我们考虑从一个由一组传感器节点和一个汇聚节点组成的能量有限的无线传感器网络中收集数据的问题。基于传感器网络的异构性,不同传感器节点生成的数据具有不同的保真度和重要性,我们将数据收集问题描述为最大化所有传感器生成的数据的加权和,并将其转化为受有限能量约束的线性规划问题。此外,我们证明了加权数据收集问题的最优多跳路由是基于字符的路由,其中只有ldquobadrdquo传感器中继ldquobadrdquo传感器的数据。最后给出了一个应用实例和仿真结果来验证所提出的概念和算法。
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