Context-Aware Framework for Energy Efficient Machine-to-Machine Communications
(English)In: IEEE Communications Magazine, ISSN 0163-6804, E-ISSN 1558-1896Article in journal (Refereed) Submitted
Cellular network based Machine-to-Machine(M2M) communications have been growing rapidly in recentyears, being used in a wide range of services such as security,metering, health, remote control, tracking and so on. A criticalissue that needs to be considered in M2M communications isthe energy efficiency, typically the machines are powered bybatteries of low capacity and it is important to optimize the waythe power is consumed. In search of better M2M systems, wepropose a context-aware framework for M2M communicationsso the machine type communication (MTC) devices dynamicallyadapt their settings depending on a series of characteristicssuch as data reporting mode and quality of service (QoS)features so higher energy efficient is achieved, extending theoperating lifetime of the M2M network. Simulations results willbe provided for four commonly used M2M applications: homesecurity, telehealth, climate and smart metering, showing thatconsiderable energy savings and operating lifetime extension onthe network can be achieved. Thus, contexts play an importantrole on the energy efficiency of a M2M system.
M2M, energy efficient, green, context, context aware, adaptation
Research subject SRA - ICT
IdentifiersURN: urn:nbn:se:kth:diva-134015OAI: oai:DiVA.org:kth-134015DiVA: diva2:664372
Projectslow-energy wireless systems
NQC 20142013-11-142013-11-142014-03-05Bibliographically approved