Exploiting rush hours for energy-efficient contact probing in opportunistic data collection
| dc.contributor.author | Brown, Kenneth N. | |
| dc.contributor.author | Wu, Xiuchao | |
| dc.contributor.author | Sreenan, Cormac J. | |
| dc.contributor.funder | Higher Education Authority | en |
| dc.date.accessioned | 2018-05-01T10:44:48Z | |
| dc.date.available | 2018-05-01T10:44:48Z | |
| dc.date.issued | 2011-07 | |
| dc.date.updated | 2018-05-01T10:34:49Z | |
| dc.description.abstract | In many potential wireless sensor network applications, the cost of the base station infrastructure can be prohibitive. Instead, we consider the use of mobile devices carried by people in their daily life to collect sensor data opportunistically. As the movement of these mobile nodes is, by definition, uncontrolled, contact probing becomes a challenging task, particularly for sensor nodes which need to be aggressively duty-cycled to achieve long life. It has been reported that when the duty-cycle of a sensor node is fixed, SNIP, a sensor node-initiated probing mechanism, performs much better than mobile node-initiated probing mechanisms. Considering that the intended applications are delay-tolerant, mobile nodes tend to follow some repeated mobility patterns, and contacts are distributed unevenly in temporal, SNIP-RH is proposed in this paper to further improve the performance of contact probing through exploiting Rush Hours during which contacts arrive more frequently. In SNIP-RH, SNIP is activated only when the time is within Rush Hours and there are enough data to be uploaded in the next probed contact. As for the duty-cycle, it is selected based on the mean of contact length that is learned on line. Both analysis and simulation results indicate that under a typical simulated road-side wireless sensor network scenario, SNIP-RH can significantly reduce the energy consumed for probing the contacts, that are necessary for uploading the sensed data, or significantly increase the probed contact capacity under a sensor node's energy budget for contact probing. | en |
| dc.description.sponsorship | Higher Education Authority (HEA PRTLI-IV NEMBES Grant) | en |
| dc.description.status | Peer reviewed | en |
| dc.description.uri | https://ieeexplore.ieee.org/xpl/mostRecentIssue.jsp?punumber=5960724 | en |
| dc.description.version | Accepted Version | en |
| dc.format.mimetype | application/pdf | en |
| dc.identifier.citation | Wu, X., Brown, K. N. and Sreenan, C. J. (2011) 'Exploiting Rush Hours for Energy-Efficient Contact Probing in Opportunistic Data Collection', 2011 31st International Conference on Distributed Computing Systems Workshops (ICDCSW), Minneapolis, MN, USA, 20-24 June, pp. 240-247. doi: 10.1109/ICDCSW.2011.23 | en |
| dc.identifier.doi | 10.1109/ICDCSW.2011.23 | |
| dc.identifier.endpage | 247 | en |
| dc.identifier.issn | 2332-5666 | |
| dc.identifier.issn | 1545-0678 | |
| dc.identifier.issn | 978-1-4577-0384-3 | |
| dc.identifier.journaltitle | 2011 31st International Conference on Distributed Computing Systems Workshops (ICDCSW) | en |
| dc.identifier.startpage | 240 | en |
| dc.identifier.uri | https://hdl.handle.net/10468/5917 | |
| dc.language.iso | en | en |
| dc.publisher | IEEE | en |
| dc.relation.uri | https://ieeexplore.ieee.org/document/5961522/ | |
| dc.rights | © 2011 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works. | en |
| dc.subject | Smart-phone | en |
| dc.subject | Wireless sensor network | en |
| dc.subject | Opportunistic data collection | en |
| dc.subject | Contact probing | en |
| dc.subject | Human mobility | en |
| dc.subject | Mobile communication | en |
| dc.subject | Wireless sensor networks | en |
| dc.subject | Optimal scheduling | en |
| dc.subject | Humans | en |
| dc.subject | Smart phones | en |
| dc.subject | Time frequency analysis | en |
| dc.subject | Mobile computing | en |
| dc.subject | Wireless sensor networks | en |
| dc.subject | Delays | en |
| dc.subject | Energy conservation | en |
| dc.subject | Mobility management (mobile radio) | en |
| dc.title | Exploiting rush hours for energy-efficient contact probing in opportunistic data collection | en |
| dc.type | Conference item | en |
