Abstract

Connecting all devices through Internet is now practical due to Internet of Things. IoT assures numerous applications in everyday life of common people, government bodies, business, and society as a whole. Collaboration among the devices in IoT to bring various applications in the real world is a challenging task. In this context, we introduce an application-based two-layer architectural framework for IoT which consists of sensing layer and IoT layer. For any real-time application, sensing devices play an important role. Both these layers are required for accomplishing IoT-based applications. The success of any IoT-based application relies on efficient communication and utilization of the devices and data acquired by the devices at both layers. The grouping of these devices helps to achieve the same, which leads to formation of cluster of devices at various levels. The clustering helps not only in collaboration but also in prolonging overall network lifetime. In this paper, we propose two clustering algorithms based on heuristic and graph, respectively. The proposed clustering approaches are evaluated on IoT platform using standard parameters and compared with different approaches reported in literature.

Highlights

  • The success of wireless sensor network in the form of technology and applications in different areas like home automation, industrial applications, security and military surveillance, and many more raises the further need for machine-tomachine connectivity and availability of the data or information anytime and anywhere [1]

  • An Internet of Things (IoT) layer device comprises IP-enabled devices with IoT protocol stack which is significant in nature, because the IoT protocol stack [40] has been introduced to operate in energy-constrained environment at any layer in the network hierarchy, that is, at data link using IEEE 802.15.4e [41], networking using 6LowPAN [42], routing using RPL [40], or application layer using CoAP [43], which results in a huge difference in developing the clustering approach in IoT as compared to that in wireless sensor network (WSN)

  • Due to advancement in the technology and need for machineto-machine connectivity, the Internet of Things overplays the role compared to wireless sensor network

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Summary

Introduction

The success of wireless sensor network in the form of technology and applications in different areas like home automation, industrial applications, security and military surveillance, and many more raises the further need for machine-tomachine connectivity and availability of the data or information anytime and anywhere [1] This requirement leads to the new technology development in the form of Internet of Things (IoT). The most significant part of above-mentioned applications using IoT needs sensing and monitoring the environment or acquiring the data from different IP-enabled devices or sensors. We introduce two-layer architectural framework consisting of two layers: upper layer that consists of IP-enabled IoT devices and lower layer that is sensor devices In this regard, for grouping the devices, clustering algorithms are employed.

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