Open AccessModels for integrating wireless sensor networks into the Internet of Things
Author(s) -
Abidoye Ademola P.,
Obagbuwa Ibidun C.
Publication year - 2017
Publication title -
iet wireless sensor systems
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.433
H-Index - 27
eISSN - 2043-6394
pISSN - 2043-6386
DOI - 10.1049/iet-wss.2016.0049
Subject(s) - wireless sensor network , computer science , cluster analysis , computer network , interoperability , key distribution in wireless sensor networks , scalability , efficient energy use , distributed computing , smart objects , protocol (science) , internet of things , wireless , wireless network , engineering , embedded system , telecommunications , database , world wide web , artificial intelligence , medicine , alternative medicine , pathology , electrical engineering
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.