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Author: search.filters.author.Nouali-Taboudjemat, NadiaSubject: search.filters.subject.Localization

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    Geographic Routing Protocols in Wireless Sensor Networks
    (CERIST, 2013) Benkhelifa, Imane; Nouali-Taboudjemat, Nadia
    The number of applications that can benefit from efficient geographic routing is impressive. As a consequence, numerous routing protocols have been developed to better accomplish the routing process according to the application requirements. In this paper, we surveyed about twenty geographic protocols. To better match them with applications, we classified them into four categories: (i) QoS-based protocols which are mainly real-time protocols used to transmit urgent message, (ii) Multipath-based that are protocols allowing transmission of packets over multi paths alternatively or concurrently, (iii) Protocols supporting mobility especially those concerned by routing information towards mobile sinks, we finally presented protocols that consider (iv) localization errors in routing decisions since sensors cannot always get accurate positions.
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    Locating Emergency Responders using Mobile Wireless Sensor Networks
    (ISCRAM, 2013-05) Benkhelifa, Imane; Moussaoui, Samira; Nouali-Taboudjemat, Nadia
    Emergency response in disaster management using wireless sensor networks has recently become an interest of many researchers in the world. This interest comes from the growing number of disasters and crisis (natural or man-made) affecting millions of lives and the easy-use of new and cheap technologies. This paper details another application of WSN in the post disaster scenario and comes up with an algorithm for localization of sensors attached to mobile responders (firefighters, policemen, first aid agents, emergency nurses, etc) while assisted by a mobile vehicle (fire truck, police car, or aerial vehicle like helicopters) called mobile anchor, sent to supervise the rescue operation. This solution is very efficient and rapidly deployable since no pre-installed infrastructure is needed. Also, there is no need to equip each sensor with a GPS receiver which is very costly and may increase the sensor volume. The proposed technique is based on the prediction of the rescuers velocities and directions considering previous position estimations. The evaluation of our solution shows that our technique takes benefit from prediction in a more effective manner than previous solutions. The simulation results show that our algorithm outperforms conventional Monte Carlo localization schemes by decreasing estimation errors with more than 50%.