Abstract
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.
Highlights
IntroductionWe illustrate clustering techniques for Wireless Sensor Networks (WSNs)
We provide the background study for our work
We investigate the performance of Smart-BEEM
Summary
We illustrate clustering techniques for Wireless Sensor Networks (WSNs). We clarify the need for clustering, and corresponding challenges of applying such a technique for IoT systems, in Multiple-In-Multiple-out (MIMO) featured. Wireless Sensor Networks (WSNs) are networks composed of distributed micro-devices embedded with various sensing abilities (called sensors), which are used to monitor the environment and send the information back to a central Base Station (BS) [1,2]. WSNs typically include a large number of sensors that are equipped with limited energy resources, but are required to operate without recharging or replacing batteries for extended periods of time. Energy efficient communication solutions for WSNs are highlighted by many researchers [3,4]. In order to prolong a networks longevity, clustering techniques have been introduced to achieve energy efficient communication between sensors
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