Design of a development platform for HW/SW codesign of wireless integrated sensor nodes

Wireless integrated sensor networks are a new class of embedded computer systems which have been made possible mainly by the recent advances in the micro and the nano technology. In order to efficiently utilize the limited resources available on a sensor node, we need to optimize its key design parameters which is only possible by making system-level design decisions about its hardware and software (operating system and applications) architecture. In this paper, we present the design of a sensor node development platform in relation to an application of wireless integrated sensor networks for sow monitoring. We also discuss the related hardware/software codesign tradeoffs.

[1]  Klaus Wehrle,et al.  Enabling Detailed Modeling and Analysis of Sensor Networks , 2005, PIK Prax. Informationsverarbeitung Kommun..

[2]  Christian C. Enz,et al.  WiseNET: an ultralow-power wireless sensor network solution , 2004, Computer.

[3]  Yong Wang,et al.  Energy-efficient computing for wildlife tracking: design tradeoffs and early experiences with ZebraNet , 2002, ASPLOS X.

[4]  Philippe Bonnet,et al.  Copenhagen , 2012 .

[5]  Rajit Manohar,et al.  SNAP: a Sensor-Network Asynchronous Processor , 2003, Ninth International Symposium on Asynchronous Circuits and Systems, 2003. Proceedings..

[6]  Jens Palsberg,et al.  Nonintrusive precision instrumentation of microcontroller software , 2005, LCTES '05.

[7]  David E. Culler,et al.  Mica: A Wireless Platform for Deeply Embedded Networks , 2002, IEEE Micro.

[8]  Rajit Manohar,et al.  BitSNAP: dynamic significance compression for a low-energy sensor network asynchronous processor , 2005, 11th IEEE International Symposium on Asynchronous Circuits and Systems.

[9]  John Anderson,et al.  Wireless sensor networks for habitat monitoring , 2002, WSNA '02.

[10]  Thomas D. Burd,et al.  Energy efficient CMOS microprocessor design , 1995, Proceedings of the Twenty-Eighth Annual Hawaii International Conference on System Sciences.

[11]  Jens Palsberg,et al.  Nonintrusive precision instrumentation of microcontroller software , 2005, LCTES '05.

[12]  A. Kansal,et al.  An environmental energy harvesting framework for sensor networks , 2003, Proceedings of the 2003 International Symposium on Low Power Electronics and Design, 2003. ISLPED '03..

[13]  Jens Palsberg,et al.  Avrora: scalable sensor network simulation with precise timing , 2005, IPSN 2005. Fourth International Symposium on Information Processing in Sensor Networks, 2005..

[14]  Thomas D. Burd,et al.  Processor design for portable systems , 1996, J. VLSI Signal Process..

[15]  Frank Vahid,et al.  Platform Tuning for Embedded Systems Design , 2001, Computer.

[16]  Rony Geers,et al.  Automated oestrus detection of sows with sensors for body temperature and physical activity. , 1995 .

[17]  Jan M. Rabaey,et al.  A study of low level vibrations as a power source for wireless sensor nodes , 2003, Comput. Commun..

[18]  David E. Culler,et al.  The nesC language: A holistic approach to networked embedded systems , 2003, PLDI.

[19]  David E. Culler,et al.  TOSSIM: accurate and scalable simulation of entire TinyOS applications , 2003, SenSys '03.

[20]  Vlado Handziski,et al.  Flexible hardware abstraction for wireless sensor networks , 2005, Proceeedings of the Second European Workshop on Wireless Sensor Networks, 2005..

[21]  Lothar Thiele,et al.  Prototyping Wireless Sensor Network Applications with BTnodes , 2004, EWSN.