Xu Lina, O'Hare Gregory M P, Collier Rem
School of Computer Science, University College Dublin, Belfield, Dublin 4, Ireland.
CONSUS (Crop OptimisatioN through Sensing, Understanding & viSualisation), University College Dublin, Belfield, Dublin 4, Ireland.
Sensors (Basel). 2017 Jul 5;17(7):1574. doi: 10.3390/s17071574.
Wireless Sensor Networks (WSNs) are typically composed of thousands of sensors powered by limited energy resources. Clustering techniques were introduced to prolong network longevity offering the promise of green computing. However, most existing work fails to consider the network coverage when evaluating the lifetime of a network. We believe that balancing the energy consumption in per unit area rather than on each single sensor can provide better-balanced power usage throughout the network. Our former work-Balanced Energy-Efficiency (BEE) and its Multihop version BEEM can not only extend the network longevity, but also maintain the network coverage. Following WSNs, Internet of Things (IoT) technology has been proposed with higher degree of diversities in terms of communication abilities and user scenarios, supporting a large range of real world applications. The IoT devices are embedded with multiple communication interfaces, normally referred as Multiple-In and Multiple-Out (MIMO) in 5G networks. The applications running on those devices can generate various types of data. Every interface has its own characteristics, which may be preferred and beneficial in some specific user scenarios. With MIMO becoming more available on the IoT devices, an advanced clustering solution for highly dynamic IoT systems is missing and also pressingly demanded in order to cater for differing user applications. In this paper, we present a smart clustering algorithm (Smart-BEEM) based on our former work BEE(M) to accomplish energy efficient and Quality of user Experience (QoE) supported communication in cluster based IoT networks. It is a user behaviour and context aware approach, aiming to facilitate IoT devices to choose beneficial communication interfaces and cluster headers for data transmission. Experimental results have proved that Smart-BEEM can further improve the performance of BEE and BEEM for coverage sensitive longevity.
无线传感器网络（WSN）通常由数千个由有限能源供电的传感器组成。引入聚类技术以延长网络寿命，为绿色计算带来了希望。然而，大多数现有工作在评估网络寿命时未能考虑网络覆盖范围。我们认为，平衡每单位面积的能量消耗而不是每个单个传感器的能量消耗，可以在整个网络中提供更好的功率平衡使用。我们之前的工作——平衡能量效率（BEE）及其多跳版本BEEM不仅可以延长网络寿命，还能保持网络覆盖范围。继无线传感器网络之后，物联网（IoT）技术被提出，在通信能力和用户场景方面具有更高的多样性，支持广泛的现实世界应用。物联网设备嵌入了多个通信接口，在5G网络中通常称为多输入多输出（MIMO）。在这些设备上运行的应用程序可以生成各种类型的数据。每个接口都有其自身的特点，在某些特定用户场景中可能是首选且有益的。随着MIMO在物联网设备上越来越普及，缺少一种针对高度动态物联网系统的先进聚类解决方案，并且迫切需要这种方案以满足不同的用户应用。在本文中，我们基于之前的工作BEE（M）提出了一种智能聚类算法（Smart - BEEM），以在基于集群的物联网网络中实现节能和支持用户体验质量（QoE）的通信。它是一种用户行为和上下文感知方法，旨在促进物联网设备选择有益的通信接口和簇头进行数据传输。实验结果证明，Smart - BEEM可以进一步提高BEE和BEEM在覆盖敏感寿命方面的性能。
