gTBS: A green Task-Based Sensing for energy efficient Wireless Sensor Networks

dc.conference.date2016-04-10 to 2016-04-14
dc.conference.locationSan Francisco, CA, USA
dc.conference.name35th IEEE Conference on Computer Communications Workshops, INFOCOM WKSHPS 2016
dc.contributor.authorAl-Halafi, Abdullah
dc.contributor.authorSboui, Lokman
dc.contributor.authorNaous, Rawan
dc.contributor.authorShihada, Basem
dc.contributor.departmentComputer Science Program
dc.contributor.departmentComputer, Electrical and Mathematical Sciences and Engineering (CEMSE) Division
dc.contributor.departmentElectrical Engineering Program
dc.date.accessioned2017-01-02T09:55:30Z
dc.date.available2017-01-02T09:55:30Z
dc.date.issued2016-09-08
dc.date.published-online2016-09-08
dc.date.published-print2016-04
dc.description.abstractWireless sensor networks (WSN) are widely used to sense and measure physical conditions for different purposes and within different regions. However due to the limited lifetime of the sensor's energy source, many efforts are made to design energy efficient WSN. As a result, many techniques were presented in the literature such as power adaptation, sleep and wake-up, and scheduling in order to enhance WSN lifetime. These techniques where presented separately and shown to achieve some gain in terms of energy efficiency. In this paper, we present an energy efficient cross layer design for WSN that we named 'green Task-Based Sensing' (gTBS) scheme. The gTBS design is a task based sensing scheme that not only prevents wasting power in unnecessary signaling, but also utilizes several techniques for achieving reliable and energy efficient WSN. The proposed gTBS combines the power adaptation with a sleep and wake-up technique that allows inactive nodes to sleep. Also, it adopts a gradient-oriented unicast approach to overcome the synchronization problem, minimize network traffic hurdles, and significantly reduce the overall power consumption of the network. We implement the gTBS on a testbed and we show that it reduces the power consumption by a factor of 20%-55% compared to traditional TBS. It also reduces the delay by 54%-145% and improves the delivery ratio by 24%-73%. © 2016 IEEE.
dc.identifier.citationAlhalafi A, Sboui L, Naous R, Shihada B (2016) gTBS: A green Task-Based Sensing for energy efficient Wireless Sensor Networks. 2016 IEEE Conference on Computer Communications Workshops (INFOCOM WKSHPS). Available: http://dx.doi.org/10.1109/INFCOMW.2016.7562060.
dc.identifier.doi10.1109/INFCOMW.2016.7562060
dc.identifier.journal2016 IEEE Conference on Computer Communications Workshops (INFOCOM WKSHPS)
dc.identifier.urihttp://hdl.handle.net/10754/622554
dc.publisherInstitute of Electrical and Electronics Engineers (IEEE)
dc.relation.urlhttp://ieeexplore.ieee.org/document/7562060/
dc.subjectAdaptive Power
dc.subjectSleep and Wake-up
dc.subjectTask-Based Sensing
dc.subjectWireless Sensor Networks
dc.titlegTBS: A green Task-Based Sensing for energy efficient Wireless Sensor Networks
dc.typeConference Paper
display.details.left<span><h5>Type</h5>Conference Paper<br><br><h5>Authors</h5><a href="https://repository.kaust.edu.sa/search?query=orcid.id:0000-0002-0453-6553&spc.sf=dc.date.issued&spc.sd=DESC">Al-Halafi, Abdullah</a> <a href="https://orcid.org/0000-0002-0453-6553" target="_blank"><img src="https://repository.kaust.edu.sa/server/api/core/bitstreams/82a625b4-ed4b-40c8-865a-d6a5225a26a4/content" width="16" height="16"/></a><br><a href="https://repository.kaust.edu.sa/search?query=orcid.id:0000-0003-1134-4055&spc.sf=dc.date.issued&spc.sd=DESC">Sboui, Lokman</a> <a href="https://orcid.org/0000-0003-1134-4055" target="_blank"><img src="https://repository.kaust.edu.sa/server/api/core/bitstreams/82a625b4-ed4b-40c8-865a-d6a5225a26a4/content" width="16" height="16"/></a><br><a href="https://repository.kaust.edu.sa/search?query=orcid.id:0000-0001-6129-7926&spc.sf=dc.date.issued&spc.sd=DESC">Naous, Rawan</a> <a href="https://orcid.org/0000-0001-6129-7926" target="_blank"><img src="https://repository.kaust.edu.sa/server/api/core/bitstreams/82a625b4-ed4b-40c8-865a-d6a5225a26a4/content" width="16" height="16"/></a><br><a href="https://repository.kaust.edu.sa/search?query=orcid.id:0000-0003-4434-4334&spc.sf=dc.date.issued&spc.sd=DESC">Shihada, Basem</a> <a href="https://orcid.org/0000-0003-4434-4334" target="_blank"><img src="https://repository.kaust.edu.sa/server/api/core/bitstreams/82a625b4-ed4b-40c8-865a-d6a5225a26a4/content" width="16" height="16"/></a><br><br><h5>KAUST Department</h5><a href="https://repository.kaust.edu.sa/search?spc.sf=dc.date.issued&spc.sd=DESC&f.department=Computer Science Program,equals">Computer Science Program</a><br><a href="https://repository.kaust.edu.sa/search?spc.sf=dc.date.issued&spc.sd=DESC&f.department=Computer, Electrical and Mathematical Sciences and Engineering (CEMSE) Division,equals">Computer, Electrical and Mathematical Sciences and Engineering (CEMSE) Division</a><br><a href="https://repository.kaust.edu.sa/search?spc.sf=dc.date.issued&spc.sd=DESC&f.department=Electrical Engineering Program,equals">Electrical Engineering Program</a><br><br><h5>Online Publication Date</h5>2016-09-08<br><br><h5>Print Publication Date</h5>2016-04<br><br><h5>Date</h5>2016-09-08</span>
display.details.right<span><h5>Abstract</h5>Wireless sensor networks (WSN) are widely used to sense and measure physical conditions for different purposes and within different regions. However due to the limited lifetime of the sensor's energy source, many efforts are made to design energy efficient WSN. As a result, many techniques were presented in the literature such as power adaptation, sleep and wake-up, and scheduling in order to enhance WSN lifetime. These techniques where presented separately and shown to achieve some gain in terms of energy efficiency. In this paper, we present an energy efficient cross layer design for WSN that we named 'green Task-Based Sensing' (gTBS) scheme. The gTBS design is a task based sensing scheme that not only prevents wasting power in unnecessary signaling, but also utilizes several techniques for achieving reliable and energy efficient WSN. The proposed gTBS combines the power adaptation with a sleep and wake-up technique that allows inactive nodes to sleep. Also, it adopts a gradient-oriented unicast approach to overcome the synchronization problem, minimize network traffic hurdles, and significantly reduce the overall power consumption of the network. We implement the gTBS on a testbed and we show that it reduces the power consumption by a factor of 20%-55% compared to traditional TBS. It also reduces the delay by 54%-145% and improves the delivery ratio by 24%-73%. © 2016 IEEE.<br><br><h5>Citation</h5>Alhalafi A, Sboui L, Naous R, Shihada B (2016) gTBS: A green Task-Based Sensing for energy efficient Wireless Sensor Networks. 2016 IEEE Conference on Computer Communications Workshops (INFOCOM WKSHPS). Available: http://dx.doi.org/10.1109/INFCOMW.2016.7562060.<br><br><h5>Publisher</h5><a href="https://repository.kaust.edu.sa/search?spc.sf=dc.date.issued&spc.sd=DESC&f.publisher=Institute of Electrical and Electronics Engineers (IEEE),equals">Institute of Electrical and Electronics Engineers (IEEE)</a><br><br><h5>Journal</h5><a href="https://repository.kaust.edu.sa/search?spc.sf=dc.date.issued&spc.sd=DESC&f.journal=2016 IEEE Conference on Computer Communications Workshops (INFOCOM WKSHPS),equals">2016 IEEE Conference on Computer Communications Workshops (INFOCOM WKSHPS)</a><br><br><h5>Conference/Event Name</h5><a href="https://repository.kaust.edu.sa/search?spc.sf=dc.date.issued&spc.sd=DESC&f.conference=35th IEEE Conference on Computer Communications Workshops, INFOCOM WKSHPS 2016,equals">35th IEEE Conference on Computer Communications Workshops, INFOCOM WKSHPS 2016</a><br><br><h5>DOI</h5><a href="https://doi.org/10.1109/INFCOMW.2016.7562060">10.1109/INFCOMW.2016.7562060</a><br><br><h5>Additional Links</h5>http://ieeexplore.ieee.org/document/7562060/</span>
kaust.personAl-Halafi, Abdullah
kaust.personSboui, Lokman
kaust.personNaous, Rawan
kaust.personShihada, Basem
orcid.authorAl-Halafi, Abdullah::0000-0002-0453-6553
orcid.authorSboui, Lokman::0000-0003-1134-4055
orcid.authorNaous, Rawan::0000-0001-6129-7926
orcid.authorShihada, Basem::0000-0003-4434-4334
orcid.id0000-0003-4434-4334
orcid.id0000-0001-6129-7926
orcid.id0000-0003-1134-4055
orcid.id0000-0002-0453-6553
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