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Dahane, Amine,Berrached, Nasr-Eddine,Loukil, Abdelhamid Korea Information Processing Society 2015 Journal of information processing systems Vol.11 No.2
In this paper, we present a virtual laboratory platform (VLP) baptized Mercury allowing students to make practical work (PW) on different aspects of mobile wireless sensor networks (WSNs). Our choice of WSNs is motivated mainly by the use of real experiments needed in most courses about WSNs. These experiments require an expensive investment and a lot of nodes in the classroom. To illustrate our study, we propose a course related to energy efficient and safe weighted clustering algorithm. This algorithm which is coupled with suitable routing protocols, aims to maintain stable clustering structure, to prevent most routing attacks on sensor networks, to guaranty energy saving in order to extend the lifespan of the network. It also offers a better performance in terms of the number of re-affiliations. The platform presented here aims at showing the feasibility, the flexibility and the reduced cost of such a realization. We demonstrate the performance of the proposed algorithms that contribute to the familiarization of the learners in the field of WSNs.
( Amine Dahane ),( Nasr Eddine Berrached ),( Abdelhamid Loukil ) 한국정보처리학회 2015 Journal of information processing systems Vol.11 No.2
In this paper, we present a virtual laboratory platform (VLP) baptized Mercury allowing students to make practical work (PW) on different aspects of mobile wireless sensor networks (WSNs). Our choice of WSNs is motivated mainly by the use of real experiments needed in most courses about WSNs. These experiments require an expensive investment and a lot of nodes in the classroom. To illustrate our study, we propose a course related to energy efficient and safe weighted clustering algorithm. This algorithm which is coupled with suitable routing protocols, aims to maintain stable clustering structure, to prevent most routing attacks on sensor networks, to guaranty energy saving in order to extend the lifespan of the network. It also offers a better performance in terms of the number of re-affiliations. The platform presented here aims at showing the feasibility, the flexibility and the reduced cost of such a realization. We demonstrate the performance of the proposed algorithms that contribute to the familiarization of the learners in the field of WSNs.
Meriem L. Aarizou,Nasr-Eddine Berrached 제어·로봇·시스템학회 2019 International Journal of Control, Automation, and Vol.17 No.2
The Robotic Operating System (ROS) has provided a set of packages for Networked Telerobotic Systems(NTS) to transport high-bandwidth ROS topics over a websocket communication. The main concern was totransport high-bandwidth sensory and kinematic information over the web with a smaller bandwidth usage and alower time-delay. Yet their solution for transporting kinematic data over the web is not a low-bandwidth-friendlysolution. It sends kinematic transforms only on demand which is certainly a better solution than sending a constantstream of data, but not optimal since some of this data is secondary and can be discarded. In this paper we present a new strategy to reduce the amount of bandwidth devoted to ROS kinematic transformsduring a web-based manipulation. We proceed by selecting the primary transforms from the amount of information. Only those transforms will be sent to clients. We propose an improved method to choose whether or not a transformis primary and will able to reduce more than 80% of bandwidth consumption. Experimental results are shown tovalidate the efficiency of the suggest method in a real time environment.