MONSOON: A Coevolutionary Multiobjective Adaptation Framework for Dynamic Wireless Sensor Networks

Wireless sensor applications (WSNs) are often required to simultaneously satisfy conflicting operational objectives (e.g., latency and power consumption). Based on an observation that various biological systems have developed the mechanisms to overcome this issue, this paper proposes a biologically-inspired adaptation mechanism, called MONSOON. MONSOON is designed to support data collection applications, event detection applications and hybrid applications. Each application is implemented as a decentralized group of software agents, analogous to a bee colony (application) consisting of bees (agents). Agents collect sensor data and/or detect an event (a significant change in sensor reading) on individual nodes, and carry sensor data to base stations. They perform these data collection and event detection functionalities by sensing their surrounding environment conditions and adaptively invoking biologicallyinspired behaviors such as pheromone emission, reproduction and migration. Eac...

• Type: Conference
• Year: 2008
• Where: HICSS
• Authors: Pruet Boonma, Junichi Suzuki
• Keywords: Biometrics, HICSS 2008, MONSOON Allows Agents, Sensor, Sensor Data, System Sciences