Models for integrating wireless sensor networks into the Internet of Things

被引：42

作者：

Abidoye A.P. ^{[1
]}

Obagbuwa I.C. ^{[2
]}

机构：

[1] School of Computing, University of South Africa, Johannesburg, P/Bag X6, Florida

[2] Information Systems and Technology, School of Management, Information Technology and Governance, University of KwaZulu-Natal, Westville Campus, Durban

来源：

IET Wireless Sensor Systems | 2017年 / 7卷 / 03期

关键词：

Low power electronics - Energy efficiency - Cluster analysis - Automotive industry - Power management (telecommunication) - Sensor nodes;

D O I：

10.1049/iet-wss.2016.0049

中图分类号：

学科分类号：

摘要：

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. © The Institution of Engineering and Technology 2017.

引用

页码：65 / 72

页数：7

共 20 条

[1]

Li S., Da Xu L., Zhao S., The internet of things: A survey, Inf. Syst. Front., 17, 2, pp. 243-259, (2015)

[2]

Xu L.D., Information architecture for supply chain quality management, Int. J. Prod. Res., 49, 1, pp. 183-198, (2011)

[3]

Internet of Things (IoT): Number of Connected Devices Worldwide from 2012 to 2020 (in Billions)

[4]

Gubbi J., Buyya R., Marusic S., Et al., Internet of things (IoT): A vision, architectural elements, and future directions, Future Gener. Comput. Syst., 29, 7, pp. 1645-1660, (2013)

[5]

Lu C.-W., Hsieh C.-M., Chang C.-H., Et al., An improvement to data service in cloud computing with content sensitive transaction analysis and adaptation, Proc. of Int. Conf. on IEEE 37th Annual Computer Software and Applications Conf. Workshops (COMPSACW), pp. 463-468, (2013)

[6]

Akyildiz I.F., Vuran M.C., Wireless Sensor Networks, (2010)

[7]

Kramer M., Geraldy A., Energy measurements for micaz node, Technical Report KrGe06, (2006)

[8]

Khan R., Khan S.U., Zaheer R., Et al., Future internet: The internet of things architecture, possible applications and key challenges, Proc. of Int. Conf. on 10th Int. Conf. on Frontiers of Information Technology (FIT) Islamabad, pp. 257-260, (2012)

[9]

Shen C., Choi H., Chakraborty S., Et al., Towards a rich sensing stack for IoT devices, Proc. of Int. Conf. on IEEE/ACM Int. Conf. on Computer-Aided Design (ICCAD), pp. 424-427, (2014)

[10]

Heinzelman W.B., Chandrakasan A., Balakrishnan H., An application-specific protocol architecture for wireless microsensor networks, IEEE Trans. Wirel. Commun., 1, 4, pp. 660-670, (2002)

← 1 2 →