In-Motes EYE: A Real Time Application for Automobiles in Wireless Sensor Networks
ABSTRACT
Wireless sensor networks have been identified as one of the key technologies for the 21st century. In order to overcome their limitations such as fault tolerance and conservation of energy, we propose a middleware solution, In-Motes. In-Motes stands as a fault tolerant platform for deploying and monitoring applications in real time offers a number of possibilities for the end user giving him in parallel the freedom to experiment with various parameters, in an effort the deployed applications to run in an energy efficient manner inside the network. The proposed scheme is evaluated through the In-Motes EYE application, aiming to test its merits under real time conditions. In-Motes EYE application which is an agent based real time In-Motes application developed for sensing acceleration variations in an environment. The application was tested in a prototype area, road alike, for a period of four months.
Wireless sensor networks have been identified as one of the key technologies for the 21st century. In order to overcome their limitations such as fault tolerance and conservation of energy, we propose a middleware solution, In-Motes. In-Motes stands as a fault tolerant platform for deploying and monitoring applications in real time offers a number of possibilities for the end user giving him in parallel the freedom to experiment with various parameters, in an effort the deployed applications to run in an energy efficient manner inside the network. The proposed scheme is evaluated through the In-Motes EYE application, aiming to test its merits under real time conditions. In-Motes EYE application which is an agent based real time In-Motes application developed for sensing acceleration variations in an environment. The application was tested in a prototype area, road alike, for a period of four months.
KEYWORDS
Wireless Sensor Networks, Middleware, Mobile Agents, In-Motes, Acceleration Measurements, Traffic Cameras
Wireless Sensor Networks, Middleware, Mobile Agents, In-Motes, Acceleration Measurements, Traffic Cameras
Cite this paper
nullD. Georgoulas and K. Blow, "In-Motes EYE: A Real Time Application for Automobiles in Wireless Sensor Networks," Wireless Sensor Network, Vol. 3 No. 5, 2011, pp. 158-166. doi: 10.4236/wsn.2011.35018.
nullD. Georgoulas and K. Blow, "In-Motes EYE: A Real Time Application for Automobiles in Wireless Sensor Networks," Wireless Sensor Network, Vol. 3 No. 5, 2011, pp. 158-166. doi: 10.4236/wsn.2011.35018.
References
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[1] Georgoulas Dimitrios, Blow Keith (2006), “In-Motes: An In-telligent Agent Based Middleware for Wireless Sensor Net-works”, Best Student Paper Award, Proceedings of the 5th WSEAS International Conference SEPADS 06, pp. 225-231. [2] Fok Chien-Liang, Roman Lu Gruia (2005), “Rapid Development and Flexible Deployment of Adaptive Network Applications”, Proceedings of the 25th IEEE Interna-tional Conference on Distributed Computing Systems, pp. 653-652. [3] P. Levis and D. Culler, “Mate: A tiny virtual machine for sensor networks”, in International Conference on Architectural Support for Programming Languages and Oper-ating Systems, pp. 93-104, 2000. [4] RoadKnight, Marshall Ian (2000), “Future Network Management – A bacterium in-spired solution”, Proccedings of the 2nd International Sympo-sium Engineering and Intelligent Systems, pp. 123-129 [5] Levis Philip (2006), “TinyOS programming”, manual, Stanford University, http://csl.stanford.edu/~pal/pubs/tinyos-programming.pdf [13/03/2007] [6] Bradshaw, M, Jeffrey (1997). “An introduc-tion in software agents”, In (Eds.) Bradshaw, M, Jeffrey in Software Agents, The MIT Press. [7] Georgoulas Dimitrios, Blow Keith (2007), “In-Motes Bins: A Real Time Application for Environmental Monitoring in Wireless Sensor Networks”, Proceedings of the 9th IEEE/IFIP International Conference on Mobile and Wireless Communications Networks, pp. 21-26. [8] Georgoulas Dimitrios, Blow Keith (2008), Intelli-gent Mobile Agent Middleware for Wireless Sensor Networks: A Real Time Application Case Study. In AICT 2008, in pro-ceedings of 4th Advanced International Conference on Tele-communications: Programmable networks, active networks and mobile agents, protocol & standards, Athens, Greece June 2008. [9] Cabri Giacomo, Leonardi Letizia, Zambonelli Franco (1998), “Reactive Tuple Spaces for Mobile Agent Co-ordination”, Proceedings of the Second International Work- shop on Mobile Agents, pp. 237-248 [10] Georgoulas Dimit-rios, Blow Keith (2006), “Making Motes Intelligent: An agent based approach to wireless sensor networks”, In WSEAS on Communications Journal, pp. 515-522. [11] Ray Ramsey, “Drivers can avoid speeding tickets...by changing lanes”, 2006. http://www.dailymail.co.uk/news/article-410539/Drivers-avoid-speeding-tickets--changing-lanes.html [12] BMW United Kingdom Research, “Passive Safety in Vehicles”, 2010 http://www.bmw.co.uk/bmwuk/bmwcorporate/sales/responsible/passive_safety/ [13] Crossbow (2007), “Wireless Systems for Environmental Monitoring”, web site, http://www.xbow.com/Products/Product_pdf_files/Wireless_pdf/Smart_Dust_AppNote.pdf [14] Crossbow (2007), “Crossbow Users Manual”, Crossbow Technology, pp. 1-45.