article

Towards efficient deployment of wireless sensor networks

Authors:

Hacène Fouchal,

Philippe Hunel,

Cédric RamassamyAuthors Info & Claims

Security and Communication Networks, Volume 9, Issue 17

Pages 3927 - 3943

https://doi.org/10.1002/sec.1059

Published: 25 November 2016 Publication History

Abstract

Applications over wireless sensor networks WSNs are various and different. Many routing protocols have been proposed for WSNs since a decade. Medium access control protocols can differ from a network to another. The transmission range can also be variable from a sensor to another depending on their battery capacities. All these various protocols have an influence on the WSNs performance, in particular, the quality of service QoS they provide. It is worthy to choose the appropriate protocol for each specific situation in order to ensure a high security of the network. In this paper, we show that the type of application, the type of routing protocol, and the transmission range value have a real impact on WSN performance. Indeed, if we do not choose the right protocol in the right situation, the network could provide a low QoS in terms of lost packet rate and energy consumption. We have undertaken a set of experimentations in order to extract a road map that could be useful for any designer who intend to deploy a WSN with a high QoS degree. For the application layer, we have handled three types of applications: regular applications, applications requiring a high communication rate, and burst rate based applications. We have also considered different network sizes. For the routing layer, we have investigated the Ad hoc On-demand Distance Vector, ad hoc on-demand multipath distance vector routing, dynamic source routing, and Destination-Sequenced Distance Vector protocols. Various transmission range values have been used. We have conducted many simulations through the NS-2 simulator in order to analyze two relevant QoS indicators on WSNs: energy consumption and lost packet rate. Copyright © 2014 John Wiley & Sons, Ltd.

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Cited By

Shang FZhou DLi CYe HZhao Y(2019)Research on the intrusion detection model based on improved cumulative summation and evidence theory for wireless sensor networkPhotonic Network Communications10.1007/s11107-018-0810-837:2(212-223)Online publication date: 17-May-2019
https://dl.acm.org/doi/10.1007/s11107-018-0810-8
Anand NVarma SSharma GVidalis S(2018)Enhanced reliable reactive routing (ER3) protocol for multimedia applications in 3D wireless sensor networksMultimedia Tools and Applications10.1007/s11042-017-5261-177:13(16927-16946)Online publication date: 1-Jul-2018
https://dl.acm.org/doi/10.1007/s11042-017-5261-1
Kim HBen-Othman JMokdad LNeilson GBellavista P(undefined)Delay-Bounded Virtual Emotion Recognition Using IoT Barriers in Advanced Smart Environment2019 IEEE Global Communications Conference (GLOBECOM)10.1109/GLOBECOM38437.2019.9013423(1-6)
https://dl.acm.org/doi/10.1109/GLOBECOM38437.2019.9013423

Towards efficient deployment of wireless sensor networks
1. Networks

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cover image Security and Communication Networks

Security and Communication Networks Volume 9, Issue 17

November 2016

900 pages

ISSN:1939-0114

EISSN:1939-0122

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Publisher

John Wiley & Sons, Inc.

United States

Publication History

Published: 25 November 2016

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Cited By

Shang FZhou DLi CYe HZhao Y(2019)Research on the intrusion detection model based on improved cumulative summation and evidence theory for wireless sensor networkPhotonic Network Communications10.1007/s11107-018-0810-837:2(212-223)Online publication date: 17-May-2019
https://dl.acm.org/doi/10.1007/s11107-018-0810-8
Anand NVarma SSharma GVidalis S(2018)Enhanced reliable reactive routing (ER3) protocol for multimedia applications in 3D wireless sensor networksMultimedia Tools and Applications10.1007/s11042-017-5261-177:13(16927-16946)Online publication date: 1-Jul-2018
https://dl.acm.org/doi/10.1007/s11042-017-5261-1
Kim HBen-Othman JMokdad LNeilson GBellavista P(undefined)Delay-Bounded Virtual Emotion Recognition Using IoT Barriers in Advanced Smart Environment2019 IEEE Global Communications Conference (GLOBECOM)10.1109/GLOBECOM38437.2019.9013423(1-6)
https://dl.acm.org/doi/10.1109/GLOBECOM38437.2019.9013423

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