Service-Aware Clustering: An Energy-Efficient Model for the Internet-of-Things

• Main Authors: Antoine Bagula, Ademola Philip Abidoye, Guy-Alain Lusilao Zodi
• Format: Article
• Language: English
• Published: MDPI AG 2015-12-01
• Series: Sensors
• Subjects: service-aware clustering (SAC); Internet-of-Things (IoT); energy efficiency; clustering mechanisms; hybrid sensor networks
• Online Access: http://www.mdpi.com/1424-8220/16/1/9

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.