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Oral Session C : Friday, March 22, 2013 / 17:30 - 18:30

The links on the papers titles are desabled the PDF versions are in the USB drive given to the IP-WiS'2013 participants
86Wireless Sensor Network Queries Processor- A survey
Karim Fathallah
Ali Frihida
Nejib Ben Hadj-Alouane


Recently, wireless sensor network (WSN) research community has proposed to model WSN as a distributed database. This enables users to interrogate the WSNs through simple SQL like queries. First, this approach significantly reduces the development and implementation cost of the system. Furthermore, various demonstrations have been quickly reported, showed that this approach performs substantial energy saving. These particular database systems are frequently referred as sensor network query processing systems (SNQP). During the last years, various flavors of SNQPs have been introduced and investigated. However, none of them completely answers to the capital performance requirements including spatial and temporal data management. In this paper, we present a survey of key state of art of SNQP systems existing in the literature, analyze their key characteristics and discuss their drawbacks and challenges. Open related issues of research are also summarized.

115Impact of Weights' Nodes on the Energy Consumption in the Wireless Sensor Networks
Nejah Nasri
Abdennaceur Kachouri


The Wireless Sensors Networks (WSNs) are composed of a large number of nodes communicating between them and distributed on a geographical zone given to measure a physical size or to supervise an event (temperature, pressure, earthquake...). The major issue in WSNs is developing an energy-efficient clustering schema which increases network's life time. In this paper, we presented a Mobility-Energy-Degree-Distance to the Base Station (MED-BS) Clustering Algorithm for the small scale wireless Sensor Networks. We have applied the proposed algorithm for an Energy-Degree-based weight, Distance-based weight and Energy-Degree-Distance-based weight. The obtained results have shown better solutions for the Energy-Degree-Distance-based weight.

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