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Selecting Energy Efficient Cluser-Head Trajectories for Collaborative Mobile Sensing
KTH, School of Electrical Engineering (EES), Communication Networks. KTH, School of Electrical Engineering (EES), Centres, ACCESS Linnaeus Centre. TSSG. (LCN)ORCID iD: 0000-0002-3912-1470
Waterford Institute of Technology.
2016 (English)In: 2015 IEEE Global Communications Conference, GLOBECOM 2015 / [ed] IEEE, Institute of Electrical and Electronics Engineers (IEEE), 2016, 7417727Conference paper, Published paper (Refereed)
Abstract [en]

We study the design of energy-efficient stochastic leader-selection algorithms in environments which are sensed by mobile handsets. This work optimizes the energy usage of the interaction between mobile handsets and an application server. The energy- efficiency of mobile handset communications is of increasing importance given the convergence of mobile computing and cloud computing. In some scenarios the unavailability of WiFi signals forces mobile devices to expend additional energy transmitting application specific sensed data over cellular networks. This paper focuses on 1) fairly allocating the overhead of transmitting sensed data to a cellular base station amongst the mobile devices by selecting a cluster-head (Fairness is measured in terms of the relative energy expended); 2) successively improving the location of the selected leader such that the efficiency of the entire system is improved; and finally, 3) allowing the mobile devices to gradually forget what they have learned so that the life-time of the mobile devices is increased (without significantly affecting energy savings). We present two algorithms in this paper and demonstrate that the battery life-time associated with sensor data transmissions of the mobile handsets may be increased by 20-40% without incurring a sensing accuracy penalty.

Place, publisher, year, edition, pages
Institute of Electrical and Electronics Engineers (IEEE), 2016. 7417727
Keyword [en]
Algorithms, Energy conservation, Mobile devices, Mobile telecommunication systems, Stochastic systems, Telephone sets, Wi-Fi, Application Servers, Application specific, Battery life time, Cellular base stations, Energy efficient, Relative energies, Selection algorithm, Sensing accuracy
National Category
Communication Systems
Research subject
Computer Science
URN: urn:nbn:se:kth:diva-173803DOI: 10.1109/GLOCOM.2014.7417727ISI: 000382389304141Scopus ID: 2-s2.0-84964876591ISBN: 978-147995952-5 (print)OAI: diva2:854940
58th IEEE Global Communications Conference, GLOBECOM 2015, San Diego, United States, 6 December 2015 through 10 December 2015

QC 20161122

Available from: 2015-09-18 Created: 2015-09-18 Last updated: 2016-11-29Bibliographically approved

Open Access in DiVA

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