A survey of network lifetime maximization techniques in wireless sensor networks

Article

Yetgin, H., Cheung, K.T.K., El-Hajjar, M. and Hanzo, L. 2017. A survey of network lifetime maximization techniques in wireless sensor networks. IEEE Communications Surveys and Tutorials. 19 (2), pp. 828-854. https://doi.org/10.1109/COMST.2017.2650979
TypeArticle
TitleA survey of network lifetime maximization techniques in wireless sensor networks
AuthorsYetgin, H., Cheung, K.T.K., El-Hajjar, M. and Hanzo, L.
Abstract

Emerging technologies, such as the Internet of Things, smart applications, smart grids, and machine-to-machine networks stimulate the deployment of autonomous, self-configuring, large-scale wireless sensor networks (WSNs). Efficient energy utilization is crucially important in order to maintain a fully operational network for the longest period of time possible. Therefore, network lifetime (NL) maximization techniques have attracted a lot of research attention owing to their importance in terms of extending the flawless operation of battery-constrained WSNs. In this paper, we review the recent developments in WSNs, including their applications, design constraints, and lifetime estimation models. Commencing with the portrayal of rich variety definitions of NL design objective used for WSNs, the family of NL maximization techniques is introduced and some design guidelines with examples are provided to show the potential improvements of the different design criteria.

KeywordsWireless sensor networks; cross layer design; energy conservation; energy efficiency; network lifetime
Sustainable Development Goals11 Sustainable cities and communities
Middlesex University ThemeSustainability
PublisherIEEE
JournalIEEE Communications Surveys and Tutorials
ISSN
Electronic1553-877X
Publication dates
Online10 Jan 2017
Print31 May 2017
Publication process dates
Submitted04 Jan 2016
Accepted02 Jan 2017
Deposited08 Apr 2024
Output statusPublished
Digital Object Identifier (DOI)https://doi.org/10.1109/COMST.2017.2650979
Web of Science identifierWOS:000402707700007
LanguageEnglish
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