Institute of Computer Science, University of Silesia, 41-200 Sosnowiec, Poland.
Sensors (Basel). 2019 Sep 20;19(19):4060. doi: 10.3390/s19194060.
Smart sensor nodes can process data collected from sensors, make decisions, and recognize relevant events based on the sensed information before sharing it with other nodes. In wireless sensor networks, the smart sensor nodes are usually grouped in clusters for effective cooperation. One sensor node in each cluster must act as a cluster head. The cluster head depletes its energy resources faster than the other nodes. Thus, the cluster-head role must be periodically reassigned (rotated) to different sensor nodes to achieve a long lifetime of wireless sensor network. This paper introduces a method for extending the lifetime of the wireless sensor networks with smart nodes. The proposed method combines a new algorithm for rotating the cluster-head role among sensor nodes with suppression of unnecessary data transmissions. It enables effective control of the cluster-head rotation based on expected energy consumption of sensor nodes. The energy consumption is estimated using a lightweight model, which takes into account transmission probabilities. This method was implemented in a prototype of wireless sensor network. During experimental evaluation of the new method, detailed measurements of lifetime and energy consumption were conducted for a real wireless sensor network. Results of these realistic experiments have revealed that the lifetime of the sensor network is extended when using the proposed method in comparison with state-of-the-art cluster-head rotation algorithms.
智能传感器节点可以处理从传感器收集的数据,根据感知到的信息做出决策,并识别相关事件,然后再与其他节点共享。在无线传感器网络中,智能传感器节点通常分组为簇以进行有效合作。每个簇中的一个传感器节点必须充当簇头。簇头比其他节点更快地耗尽其能量资源。因此,必须定期将簇头角色重新分配(轮换)到不同的传感器节点,以实现无线传感器网络的长寿命。本文介绍了一种使用智能节点延长无线传感器网络寿命的方法。该方法将一种新的算法与抑制不必要的数据传输相结合,用于在传感器节点之间轮换簇头角色。它能够根据传感器节点的预期能耗有效地控制簇头的轮换。使用轻量级模型来估计能耗,该模型考虑了传输概率。该方法已在无线传感器网络原型中实现。在对新方法进行的实际实验评估中,针对实际的无线传感器网络进行了寿命和能耗的详细测量。这些实际实验的结果表明,与最先进的簇头轮换算法相比,使用所提出的方法可以延长传感器网络的寿命。