MWM: a map-based world model for wireless sensor networks

A prominent functionality of a Wireless Sensor Network (WSN) is environmental monitoring. For this purpose the WSN creates a model for the real world by using abstractions to parse the collected data. Being cross-layer and application-oriented, most of WSN research does not allow dely accepted abstraction. A few approaches such as database-oriented and publish/subscribe provide acceptable ions by reducing application dependency and hiding communication details. Unfortunately, these approaches ignore the spatial correlation of sensor readings and still address single sensor nodes. In this work we present a novel approach based on a "world model" that exploits the spatial correlation of sensor readings and represents them as a collection of regions called maps. Maps are a natural way for the presentation of the physical world and its physical phenomena over space and time. Our Map-based World Model stracts from low-level communication issues and supports general applications b...

• Type: Conference
• Year: 2008
• Where: AUTONOMICS
• Authors: Abdelmajid Khelil, Faisal Karim Shaikh, Brahim Ayari, Neeraj Suri
• Keywords: AUTONOMICS 2008, Communications, Sensor Readings, Spatial Correlation, Wireless Sensor Network