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Sensors 2017, 17(7), 1574; doi:10.3390/s17071574

A Smart and Balanced Energy-Efficient Multihop Clustering Algorithm (Smart-BEEM) for MIMO IoT Systems in Future Networks

1
School of Computer Science, University College Dublin, Belfield, Dublin 4, Ireland
2
CONSUS (Crop OptimisatioN through Sensing, Understanding & viSualisation), University College Dublin, Belfield, Dublin 4, Ireland
This paper is an extended version of our paper published in Lina Xu, Gregory M. P. O’Hare and Rem Collier. A Balanced Energy-Efficient Multihop Clustering Scheme for Wireless Sensor Networks. In Proceedings of the 7th IFIP and IEEE Wireless and Mobile Networking Conference (WMNC), Vilamoura, Portugal, 20–22 May 2014.
*
Author to whom correspondence should be addressed.
Received: 30 May 2017 / Revised: 26 June 2017 / Accepted: 1 July 2017 / Published: 5 July 2017
(This article belongs to the Special Issue Energy Harvesting Sensors for Long Term Applications in the IoT Era)
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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. View Full-Text
Keywords: WSN; MIMO; Energy Efficiency; QoE; Clustering; IoT; Future Network; 5G WSN; MIMO; Energy Efficiency; QoE; Clustering; IoT; Future Network; 5G
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This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. (CC BY 4.0).

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Xu, L.; O’Hare, G.M.P.; Collier, R. A Smart and Balanced Energy-Efficient Multihop Clustering Algorithm (Smart-BEEM) for MIMO IoT Systems in Future Networks . Sensors 2017, 17, 1574.

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