Data pre-forwarding for opportunistic data collection in wireless sensor networks

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dc.contributor.author Wu, Xiuchao
dc.contributor.author Brown, Kenneth N.
dc.contributor.author Sreenan, Cormac J.
dc.date.accessioned 2018-07-02T14:00:24Z
dc.date.available 2018-07-02T14:00:24Z
dc.date.issued 2014-11
dc.identifier.citation Wu, X., Brown, K. N. and Sreenan, C. J. (2014) 'Data Pre-Forwarding for Opportunistic Data Collection in Wireless Sensor Networks', ACM Transactions On Sensor Networks, 11(1), pp. 1-33. doi: 10.1145/2629369 en
dc.identifier.volume 11 en
dc.identifier.issued 1 en
dc.identifier.startpage 1 en
dc.identifier.endpage 33 en
dc.identifier.issn 1550-4859
dc.identifier.uri http://hdl.handle.net/10468/6401
dc.identifier.doi 10.1145/2629369
dc.description.abstract Opportunistic data collection in wireless sensor networks uses passing smartphones to collect data from sensor nodes, thus avoiding the cost of multiple static sink nodes. Based on the observed mobility patterns of smartphone users, sensor data should be preforwarded to the nodes that are visited more frequently with the aim of improving network throughput. In this article, we construct a formal network model and an associated theoretical optimization problem to maximize the throughput subject to energy constraints of sensor nodes. Since a centralized controller is not available in opportunistic data collection, data pre-forwarding (DPF) must operate as a distributed mechanism in which each node decides when and where to forward data based on local information. Hence, we develop a simple distributed DPF mechanism with two heuristic algorithms, implement this proposal in Contiki-OS, and evaluate it thoroughly. We demonstrate empirically, in simulations, that our approach is close to the optimal solution obtained by a centralized algorithm. We also demonstrate that this approach performs well in scenarios based on real mobility traces of smartphone users. Finally, we evaluate our proposal on a small laboratory testbed, demonstrating that the distributed DPF mechanism with heuristic algorithms performs as predicted by simulations, and thus that it is a viable technique for opportunistic data collection through smartphones. en
dc.description.sponsorship Higher Education Authority (HEA PRTLI-IV NEMBES Grant); Science Foundation Ireland (SFI 10/CE/I 1853) en
dc.format.mimetype application/pdf en
dc.language.iso en en
dc.publisher Association for Computing Machinery, ACM en
dc.relation.uri https://dl.acm.org/citation.cfm?id=2629369
dc.rights © 2014 ACM. This is the author's version of the work. It is posted here for your personal use. Not for redistribution. The definitive Version of Record was published in ACM Transactions on Sensor Networks (TOSN), http://dx.doi.org/10.1145/2629369 en
dc.subject Design en
dc.subject Algorithms en
dc.subject Performance en
dc.subject Wireless sensor network en
dc.subject Opportunistic data collection en
dc.subject Routing en
dc.subject Data pre-forwarding en
dc.subject Human mobility en
dc.subject Smartphone en
dc.title Data pre-forwarding for opportunistic data collection in 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: c.sreenan@cs.ucc.ie en
dc.internal.availability Full text available en
dc.date.updated 2018-07-02T13:48:18Z
dc.description.version Accepted Version en
dc.internal.rssid 322051104
dc.internal.wokid 000345012500008
dc.contributor.funder Higher Education Authority en
dc.contributor.funder Science Foundation Ireland en
dc.description.status Peer reviewed en
dc.identifier.journaltitle ACM Transactions on Sensor Networks en
dc.internal.copyrightchecked No !!CORA!! en
dc.internal.licenseacceptance Yes en
dc.internal.IRISemailaddress c.sreenan@cs.ucc.ie en
dc.internal.IRISemailaddress xw2@cs.ucc.ie en
dc.internal.IRISemailaddress k.brown@cs.ucc.ie en


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