Service-aware clustering: an energy-efficient model for the internet-of-things
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Date
2016
Authors
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Journal ISSN
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Publisher
MDPI
Abstract
Current 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.
Description
Keywords
Service-aware clustering (SAC), Internet-of-things (IoT), Energy efficiency, Clustering mechanisms, Hybrid sensor networks
Citation
Bagula, A. et al. (2016). Service-aware clustering: an energy-efficient model for the internet-of-things. Sensors, 16: 9