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Lyes Khelladi

Vehicular traffic is increasing around the world, especially in urban areas. This increase results in a huge traffic congestion, which has dramatic consequences on economy, human health, and environment. Traditional methods used for... more
Vehicular traffic is increasing around the world, especially in urban areas. This increase results in a huge traffic congestion, which has dramatic consequences on economy, human health, and environment. Traditional methods used for traffic management, surveillance and control become inefficient in terms of performance, cost, maintenance, and support, with the increased traffic. Wireless Sensor Networks (WSN) is an emergent technology with an effective potential to overcome these difficulties, and will have a great added value to intelligent transportation systems (ITS). In this survey, we review traffic light projects and solutions. We discuss their architectural and engineering challenges, and shed some light on the future trends as well
Research Interests:
The focus of this paper is on vehicular traffic safety in which we suggest a wireless sensor network (WSN) based solution that allows vehicles with merely onboard sensors to avoid frontal collisions in rural highways. The unique feature... more
The focus of this paper is on vehicular traffic safety in which we suggest a wireless sensor network (WSN) based solution that allows vehicles with merely onboard sensors to avoid frontal collisions in rural highways. The unique feature of our solution is the infrastructureless, i.e. no infrastructure is required but only tiny low-cost sensors are employed. The solution can replace the infrastructure-based systems in rural and suburban areas, where the deployment of such infrastructure is constrained. Furthermore, it can serve as an alternative solution for unsophisticated vehicles that are not equipped with aboard computers and cannot take advantage of the current intelligent transportation systems and services.
This paper deals with simultaneous energy transfer to multiple nodes for scalable wireless recharging in wireless sensor networks. All existing recharging schemes rely on the use of a mobile charger that roves the network and drops by... more
This paper deals with simultaneous energy transfer to multiple nodes for scalable wireless recharging in wireless sensor networks. All existing recharging schemes rely on the use of a mobile charger that roves the network and drops by some locations for nodes recharging. However, they focus on the efficiency of energy transfer and neglect the energy engendered by the charger movement. This is tackled in this paper, where the wireless charging is modeled as a path optimization problem for the mobile charger, with objective function to minimizing the number of stop locations in the path. Due to the NP-harness of the problem, we propose a simple but efficient heuristic. It is based on clique partitioning to find the minimum number of locations allowing the mobile charger to replenish all the node’s batteries in the network. Evaluation results demonstrate that the proposed approach significantly reduces the total energy consumption of the mobile charger, while using a low-complexity tec...
Page 1. Information Security In Wireless Sensor Network Priyanka Mangal1, Ashish Pandey 2 ,Aditya raj singh Rathore 1priyanka ... 2009 . [2]. Sophia Kaplantzis,” Security Models for Wireless Sensor Networks” March 20, 2006. ...
Directed diffusion is a prominent example of data-centric routing in sensor networks, since it is based on application layer data and purely local interactions. However, its functioning relies heavily on expensive operations, like... more
Directed diffusion is a prominent example of data-centric routing in sensor networks, since it is based on application layer data and purely local interactions. However, its functioning relies heavily on expensive operations, like network-wide flooding, that may decrease the protocol performance in densely deployed networks. In this paper, we take a first step towards understanding the performance of directed diffusion in dense sensor networks. Our objective is to precisely identify the protocol's weaknesses in such application scenarios, in order to allow adequate optimizations for better performance.