Network Modeling and Energy-Efficiency Optimization for Advanced Machine-to-Machine Sensor Networks

• Main Authors: Seoksoo Kim, Jong Hyun Kim, Sungmo Jung
• Format: Article
• Language: English
• Published: MDPI AG 2012-11-01
• Series: Sensors
• Subjects: clustering algorithm; lifespan; machine to machine; multiple radio interfaces; network modeling; wireless sensor networks
• Online Access: http://www.mdpi.com/1424-8220/12/11/14851

Wireless machine-to-machine sensor networks with multiple radio interfaces are expected to have several advantages, including high spatial scalability, low event detection latency, and low energy consumption. Here, we propose a network model design method involving network approximation and an optimized multi-tiered clustering algorithm that maximizes node lifespan by minimizing energy consumption in a non-uniformly distributed network. Simulation results show that the cluster scales and network parameters determined with the proposed method facilitate a more efficient performance compared to existing methods.