Quality-Aware Resource Management for Wireless Sensor Networks

Due to the distributed and resource constrained nature of wireless sensor networks, their design proves to be difficult. We present a resource management framework, which integrates a data-centric lightweight operating system with a publish/subscribe middleware. In this framework, the main system abstraction is data for both local and networked processing. The resultant system software is extended with a quality-aware adaptation mechanism, which configures system timeliness according to the actual application requirements. A feedback-based control mechanism is used to iteratively tune the resultant data granularity in order to fit user requirements. Our design is evaluated by simulations and the concepts were also implemented in our sensor network testbed.

[1]  Paul J.M. Havinga,et al.  Architectures for Wireless Sensor Networks , 2005 .

[2]  Ian F. Akyildiz,et al.  Wireless sensor networks: a survey , 2002, Comput. Networks.

[3]  Chien-Chung Shen,et al.  Sensor information networking architecture and applications , 2001, IEEE Wirel. Commun..

[4]  P.J.M. Havinga,et al.  AmbientRT - real time system software support for data centric sensor networks , 2004, Proceedings of the 2004 Intelligent Sensors, Sensor Networks and Information Processing Conference, 2004..

[5]  Amy L. Murphy,et al.  Middleware to support sensor network applications , 2004, IEEE Network.

[6]  Paul J.M. Havinga,et al.  Lightweight EDF Scheduling with Deadline Inheritance , 2003 .

[7]  Stefan Dulman,et al.  Data Centric Architecture for Wireless Sensor Networks , 2005 .

[8]  Pramod K. Varshney,et al.  QoS Support in Wireless Sensor Networks: A Survey , 2004, International Conference on Wireless Networks.

[9]  Anu Purhonen,et al.  Ambient intelligence and the development of embedded system software , 2003 .

[10]  Paul J.M. Havinga,et al.  A Lightweight Medium Access Protocol (LMAC) for Wireless Sensor Networks: Reducing Preamble Transmissions and Transceiver State Switches , 2004 .

[11]  Archan Misra,et al.  MASTAQ: a middleware architecture for sensor applications with statistical quality constraints , 2005, Third IEEE International Conference on Pervasive Computing and Communications Workshops.

[12]  Philippe Bonnet,et al.  Querying the physical world , 2000, IEEE Wirel. Commun..

[13]  David E. Culler,et al.  System architecture directions for networked sensors , 2000, SIGP.

[14]  Deborah Estrin,et al.  The PIM architecture for wide-area multicast routing , 1996, TNET.