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Open AccessArticle

Data Exchange in Cluster Structure for Longevity of IoT

School of Information Technology Engineering, Catholic University of Daegu, Gyeongsan-si 38430, Korea
Future Internet 2020, 12(2), 32; https://doi.org/10.3390/fi12020032
Received: 10 January 2020 / Revised: 10 February 2020 / Accepted: 10 February 2020 / Published: 12 February 2020
(This article belongs to the Special Issue Delay-Tolerant Networking)
In the Internet of Things (IoT), the scope of wireless sensor nodes is extended to things deployed in a pervasive world. For various IoT service applications, things can gather and share their information with each other through self-decision-making. Therefore, we cannot apply the existing information aggregation methods of wireless sensor networks to the IoT environment, which aim to transmit the collected data to only a sink node or a central server. Moreover, since the existing methods involve all the sensor nodes in the process of data exchange, they can cause an increase in the network traffic, delay of data transmission, and amount of energy consumed by things. In this paper, we propose a clustering-property-based data exchange method for efficient energy consumption in IoT networks. First, the proposed method assigns properties to each thing according to the characteristics of the obtained data. Second, it constructs a cluster network considering the location of things and their energy consumption. Finally, the things in a cluster communicate with other things in a different cluster based on their properties. In the experiment, the proposed method exhibits a better performance than the existing method. Owing to the energy-saving effect, we demonstrate that the proposed method results in a more reliable network and improves the longevity of IoT networks.
Keywords: thing property; clustering; data exchange; energy efficiency; IoT thing property; clustering; data exchange; energy efficiency; IoT
MDPI and ACS Style

Jeon, S. Data Exchange in Cluster Structure for Longevity of IoT. Future Internet 2020, 12, 32.

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