Models for integrating wireless sensor networks into the Internet of Things

Ademola P. Abidoye; Ibidun C. Obagbuwa

Models for integrating wireless sensor networks into the Internet of Things

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Author(s): Ademola P. Abidoye ¹ and Ibidun C. Obagbuwa ²
- Affiliations: 1: School of Computing, University of South Africa, Johannesburg, P/Bag X6, Florida 1710, South Africa ;
  2: Information Systems and Technology, School of Management, Information Technology and Governance, University of KwaZulu-Natal, Westville Campus, Durban 4000, South Africa
Source: Volume 7, Issue 3, June 2017, p. 65 – 72
DOI: 10.1049/iet-wss.2016.0049 , Print ISSN 2043-6386, Online ISSN 2043-6394

Received 20/05/2016, Accepted 10/01/2017, Revised 08/12/2016, Published 18/01/2017

Ubiquitous sensing and unique characteristics of wireless sensor networks (WSNs) have led to an increase in application areas such as smart parking, environmental monitoring, automotive industries and sports. In recent years, WSNs have gained more significance as the foundation infrastructure for the Internet of Things (IoT), which has greatly increased the number of connected objects with instantaneous communication and data processing. However, designing energy-efficient models for integrating WSNs into IoT is a challenging issue due to scalability and interoperability of IoT, and previous approaches designed for WSNs cannot be applied directly. This study proposes two energy-efficient models for WSNs in the IoT environment: (i) a service-aware clustering model where individual sensor nodes are assigned roles based on their service delivery; and (ii) an energy-aware clustering model. Performance evaluation shows better energy efficiency, end-to-end delay and network load balance of the proposed models for integrating wireless sensor networks into the IoT protocol compared with low-energy adaptive clustering hierarchy centralised protocol and fuzzy C-means clustering protocol.

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