Service-aware clustering: an energy-efficient model for the internet-of-things

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dc.contributor.advisorBagula, Antoine
dc.contributor.advisorPhilip, A.
dc.date.accessioned2017-01-25T13:41:23Z
dc.date.available2017-01-25T13:41:23Z
dc.date.issued2016
dc.description.abstractCurrent generation wireless sensor routing algorithms and protocols have been designed based on a myopic routing approach, where the motes are assumed to have the same sensing and communication capabilities. Myopic routing is not a natural fit for the IoT, as it may lead to energy imbalance and subsequent short-lived sensor networks, routing the sensor readings over the most service-intensive sensor nodes, while leaving the least active nodes idle. This paper revisits the issue of energy efficiency in sensor networks to propose a clustering model where sensor devices' service delivery is mapped into an energy awareness model, used to design a clustering algorithm that finds service-aware clustering (SAC) configurations in IoT settings. The performance evaluation reveals the relative energy efficiency of the proposed SAC algorithm compared to related routing algorithms in terms of energy consumption, the sensor nodes' life span and its traffic engineering efficiency in terms of throughput and delay. These include the well-known low energy adaptive clustering hierarchy (LEACH) and LEACH-centralized (LEACH-C) algorithms, as well as the most recent algorithms, such as DECSA and MOCRN.en_US
dc.identifier.citationBagula, A. et al. (2016). Service-aware clustering: an energy-efficient model for the internet-of-things. Sensors, 16: 9en_US
dc.identifier.issn1424-8220
dc.identifier.urihttp://hdl.handle.net/10566/2495
dc.identifier.urihttp://dx.doi.org/10.3390/s16010009
dc.language.isoenen_US
dc.publisherMDPIen_US
dc.rightsAll articles published by MDPI are made immediately available worldwide under an open access license
dc.subjectService-aware clustering (SAC)en_US
dc.subjectInternet-of-things (IoT)en_US
dc.subjectEnergy efficiencyen_US
dc.subjectClustering mechanismsen_US
dc.subjectHybrid sensor networksen_US
dc.titleService-aware clustering: an energy-efficient model for the internet-of-thingsen_US
dc.typeArticleen_US

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