Decision gathering process in target-detection wireless sensor networks (WSNs) has an essential impact on the overall performance. Among the different decision gathering approaches, a recently proposed scheme, denoted by index modulation based WSN (IM-WSN), has shown a significant enhancement in the decision error rate (DER). The IM-WSN scheme exploits the concept of IM to convey sensing results from distributed clusters in cluster-based WSNs. In this work, we aim at further enhancing the decision accuracy of IM-WSN by improving the transmit diversity of each cluster. Specifically, two schemes, referred to as group-based IM (GIM-WSN) and combination-based IM (CIM-WSN), are proposed. Both schemes rely on increasing transmit diversity by allowing more than one node to act as cluster head and forward sensing results to the sink node. The average decision rate is formulated in a unified closed form expression for both schemes. In comparison with the state-of-art schemes, simulation results show that the proposed schemes exhibit better performance in terms of DER without additional complexity or energy consumption.

中文翻译：

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基于索引调制的无线传感器网络决策收集方案

目标检测无线传感器网络 (WSN) 中的决策收集过程对整体性能具有重要影响。在不同的决策收集方法中，最近提出的由基于索引调制的 WSN (IM-WSN) 表示的方案已显示出决策错误率 (DER) 的显着提高。IM-WSN 方案利用 IM 的概念来传达来自基于集群的 WSN 中的分布式集群的感知结果。在这项工作中，我们旨在通过提高每个集群的传输多样性来进一步提高 IM-WSN 的决策准确性。具体地，提出了两种方案，称为基于组的IM（GIM-WSN）和基于组合的IM（CIM-WSN）。这两种方案都依赖于通过允许多个节点充当簇头并将感知结果转发到汇聚节点来增加发射分集。两种方案的平均决策率都以统一的封闭形式表达。与最先进的方案相比，仿真结果表明，所提出的方案在 DER 方面表现出更好的性能，而没有额外的复杂性或能耗。