Contact probing mechanisms for opportunistic sensor data collection in sparse wireless sensor networks

Show simple item record Wu, Xiuchao Brown, Kenneth N. Sreenan, Cormac J. 2018-05-01T11:40:07Z 2018-05-01T11:40:07Z 2015-02-16
dc.identifier.citation Wu, X., Brown, K. N. and Sreenan, C. J. (2015) 'Contact Probing Mechanisms for Opportunistic Sensor Data Collection', The Computer Journal, 58(8), pp. 1792-1810. doi: 10.1093/comjnl/bxv005 en
dc.identifier.volume 58 en
dc.identifier.issued 8 en
dc.identifier.startpage 1792 en
dc.identifier.endpage 1810 en
dc.identifier.issn 0010-4620
dc.identifier.doi 10.1093/comjnl/bxv005
dc.description.abstract In many emerging wireless sensor network scenarios, the use of a fixed infrastructure of base stations for data collection is either infeasible, or prohibitive in terms of deployment and maintenance costs. Instead, we consider the use of mobile devices (i.e. smartphones) carried by people in their daily life to collect data from sensor nodes opportunistically. As the movement of these mobile nodes is, by definition, not controlled for the purpose of data collection, synchronization through contact probing becomes a challenging task, particularly for sensor nodes, which need to be aggressively duty-cycled to conserve energy and achieve long lifetimes. This paper formulates this important problem, providing an analytical solution framework and systematically investigating the effective use of contact probing for opportunistic data collection. We present two new solutions, Sensor Node-Initiated Probing (SNIP) and SNIP-Rush Hours, the latter taking advantage of the temporal locality of human mobility. These schemes are evaluated using numerical analysis and COOJA network simulations, and the results are validated on a small sensor testbed and with the real-world human mobility traces from Nokia MDC Dataset. Our experimental results quantify the relative performance of alternative solutions on sensor node energy consumption and the efficacy of contact probing for data collection, allowing us to offer insights on this important emerging problem. en
dc.description.sponsorship Science Foundation Ireland (CTVR Grant (SFI 10/CE/I 1853)); Higher Education Authority (HEA PRTLI-IV NEMBES Grant) en
dc.format.mimetype application/pdf en
dc.language.iso en en
dc.publisher Oxford University Press en
dc.rights © The British Computer Society 2015. All rights reserved. For Permissions, please email: This is a pre-copyedited, author-produced version of an article accepted for publication in The Computer Journal following peer review. The version of record, Contact Probing Mechanisms for Opportunistic Sensor Data Collection, The Computer Journal, Volume 58, Issue 8, 1 August 2015, Pages 1792–1810, is available online at: en
dc.subject Wireless sensor networks en
dc.subject Opportunistic data collection en
dc.subject Contact probing en
dc.subject Human mobility en
dc.subject Smartphone en
dc.title Contact probing mechanisms for opportunistic sensor data collection in sparse wireless sensor networks en
dc.type Article (peer-reviewed) en
dc.internal.authorcontactother Cormac Sreenan, Computer Science, University College Cork, Cork, Ireland. +353-21-490-3000 Email: en
dc.internal.availability Full text available en 2018-05-01T11:27:26Z
dc.description.version Accepted Version en
dc.internal.rssid 286420935
dc.internal.rssid 435972616
dc.contributor.funder Science Foundation Ireland en
dc.contributor.funder Higher Education Authority en
dc.description.status Peer reviewed en
dc.identifier.journaltitle The Computer Journal en
dc.internal.copyrightchecked No !!CORA!! en
dc.internal.licenseacceptance Yes en
dc.internal.IRISemailaddress en
dc.internal.IRISemailaddress en
dc.internal.IRISemailaddress en

Files in this item

This item appears in the following Collection(s)

Show simple item record

This website uses cookies. By using this website, you consent to the use of cookies in accordance with the UCC Privacy and Cookies Statement. For more information about cookies and how you can disable them, visit our Privacy and Cookies statement