Malika BELKADI

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

E-mail: belkadi_dz@yahoo.fr

Website:

Research Interests: Computer systems and computational processes, Computer Architecture and Organization, Embedded System, Computer Networks, Cellular Automata

Biography

Dr. Belkadi Malika born in 1972. She received her engineering degree on computer science in 1998 and his PhD in 2011. Actually, is an assistant Professor at computer science department of Mouloud Mammeri University, Tizi Ouzou, ALGERIA. She is also a research member at the Laboratory (LARI) of the computer science department. Her areas of interest include mobile networks (Cellular, Ad hoc and sensors networks), embedded systems and computer architecture.

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