Mustapha LALAM

Work place: Computer Science Departement, Laboratoire de Recherche en Informatique (LARI), Université Mouloud Mammeri de Tizi Ouzou, Algeria

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Research Interests: Computer systems and computational processes, Computer Architecture and Organization, Systems Architecture, Distributed Computing, Database Management System

Biography

Pr. Lalam Mustapha received the Master’s degree in computer architecture from the High School of Computer Science, Algiers, Algeria, in 1980 and the Ph.D. degree in computer science from the University of Toulouse, France, in 1990. He joined the University of Tizi Ouzou, Algeria in 1993, where he is now Professor in the Computer Science Department at the University of Tizi Ouzou. He has been involved in research and development of computer architecture, distributed systems and mobility management for wireless mobile computing and communications.

Author Articles
Energy-efficient Secure Directed Diffusion Protocol for Wireless Sensor Networks

By Malika BELKADI Rachida AOUDJIT Mehammed DAOUI Mustapha LALAM

DOI: https://doi.org/10.5815/ijitcs.2014.01.06, Pub. Date: 8 Dec. 2013

In wireless sensor networks, it is crucial to design and employ energy-efficient communication protocols, since nodes are battery-powered and thus their lifetimes are limited. Such constraints combined with a great number of applications used in these networks, pose many challenges (limited energy, low security…) to the design and management of wireless sensor networks. These challenges necessitate a great attention. In this paper, we present a new version of Directed Diffusion routing protocol which provides both security and energy efficiency together in wireless sensor networks.

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Mobile Localization Based on Clustering

By Malika BELKADI Rachida AOUDJIT Mehammed DAOUI Mustapha LALAM

DOI: https://doi.org/10.5815/ijcnis.2013.09.05, Pub. Date: 8 Jul. 2013

This work presents a mobile location management technique based on the clustering. This technique can be implemented on next generation mobile networks by exploiting the data available on the users (age, function, address, workplace… etc), existing infrastructure (roads, location of base stations… etc) and the users' displacements history.
The simulations are carried out using a realistic model of movements. The results show that our strategy requires a minimum number of location messages compared to the static and dynamic location management techniques.

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Other Articles