TY - CHAP

T1 - Map-based design for autonomic wireless sensor networks

AU - Khelil, A.

AU - Shaikh, F.K.

AU - Szczytowski, P.

AU - Ayari, B.

AU - Suri, Neeraj

PY - 2009

Y1 - 2009

N2 - A prominent functionality of a Wireless Sensor Network (WSN) is environmental monitoring. For this purpose theWSN creates a model for the real world by using abstractions to parse the collected data. Being cross-layer and application-oriented, most ofWSN research does not allow for a widely accepted abstraction. A few approaches such as database-oriented and publish/subscribe provide acceptable abstractions 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 (MWM) abstracts from low-level communication issues and supports general applications by allowing for efficient event detection, prediction and queries. In addition our MWM unifies the monitoring of physical phenomena with network monitoring which maximizes its generality. From our approach we deduce a general modeling and design methodology for WSNs. Using a case study we highlight the simplicity of the proposed methodology. We provide the necessary tools to use our architecture and to acquire valuable WSN insights in the established OMNeT++ simulator. © 2009 Springer Science+Business Media, LLC.

AB - A prominent functionality of a Wireless Sensor Network (WSN) is environmental monitoring. For this purpose theWSN creates a model for the real world by using abstractions to parse the collected data. Being cross-layer and application-oriented, most ofWSN research does not allow for a widely accepted abstraction. A few approaches such as database-oriented and publish/subscribe provide acceptable abstractions 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 (MWM) abstracts from low-level communication issues and supports general applications by allowing for efficient event detection, prediction and queries. In addition our MWM unifies the monitoring of physical phenomena with network monitoring which maximizes its generality. From our approach we deduce a general modeling and design methodology for WSNs. Using a case study we highlight the simplicity of the proposed methodology. We provide the necessary tools to use our architecture and to acquire valuable WSN insights in the established OMNeT++ simulator. © 2009 Springer Science+Business Media, LLC.

U2 - 10.1007/978-0-387-09753-4_12

DO - 10.1007/978-0-387-09753-4_12

M3 - Chapter

SN - 9780387097527

SP - 309

EP - 326

BT - Autonomic Communication

PB - Tsinghua University Press & Springer-Verlag

ER -