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On Connected Target Coverage for Wireless Heterogeneous Sensor Networks with Multiple Sensing Units

机译:具有多个传感单元的无线异构传感器网络的连接目标覆盖范围

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The paper considers the connected target coverage (CTC) problem in wireless heterogeneous sensor networks (WHSNs) with multiple sensing units, termed MU-CTC problem. MU-CTC problem can be reduced to a connected set cover problem and further formulated as an integer linear programming (ILP) problem. However, the ILP problem is an NP-complete problem. Therefore, two distributed heuristic schemes, REFS (remaining energy first scheme) and EEFS (energy efficiency first scheme), are proposed. In REFS, each sensor considers its remaining energy and its neighbors’ decisions to enable its sensing units and communication unit such that all targets can be covered for the required attributes and the sensed data can be delivered to the sink. The advantages of REFS are its simplicity and reduced communication overhead. However, to utilize sensors’ energy efficiently, EEFS is proposed. A sensor in EEFS considers its contribution to the coverage and the connectivity to make a better decision. To our best knowledge, this paper is the first to consider target coverage and connectivity jointly for WHSNs with multiple sensing units. Simulation results show that REFS and EEFS can both prolong the network lifetime effectively. EEFS outperforms REFS in network lifetime, but REFS is simpler.
机译:本文考虑了具有多个传感单元的无线异构传感器网络(WHSN)中的连接目标覆盖(CTC)问题,称为MU-CTC问题。 MU-CTC问题可以简化为连通集覆盖问题,并且可以进一步表述为整数线性规划(ILP)问题。但是,ILP问题是NP完全问题。因此,提出了两种分布式启发式方案,即REFS(剩余能量优先方案)和EEFS(能量效率优先方案)。在REFS中,每个传感器都会考虑其剩余能量以及邻居的决定,以启用其传感单元和通信单元,以便可以覆盖所有目标以获得所需的属性,并且可以将传感的数据传递到接收器。 REFS的优势在于其简单性和减少的通信开销。但是,为了有效利用传感器的能量,提出了EEFS。 EEFS中的传感器会考虑其对覆盖范围和连接性的影响,以做出更好的决策。据我们所知,本文是第一个同时考虑具有多个传感单元的WHSN的目标覆盖范围和连通性的文章。仿真结果表明,REFS和EEFS均可有效地延长网络寿命。 EEFS在网络寿命方面胜过REFS,但REFS更简单。

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