Mohammed Feham

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Prolonging network lifetime has become a real challenge in Mobile Wireless Sensor Networks (MWSNs) as sensors have limited energy. In this paper, we propose a Cluster-based Energy-efficient Scheme (CES) for electing a cluster-head to evenly distribute energy consumption in the overall network and therefore obtain a longer network lifetime. In CES, each(More)
Wireless sensor networks (WSNs) consist of a large number of tiny sensor nodes. Hence, a cluster-based architecture can be used to deal the self-organization issues of large networks. This cluster-based organization can prolong network lifetime and reduce broadcast overhead. In this paper, we propose an Efficient SelfOrganization Algorithm for Clustering(More)
Wireless Body Area Sensor Networks (WBASN) is an emerging technology which uses wireless sensors to implement real-time wearable health monitoring of patients to enhance independent living. In this paper we propose a prototype of cloud mobile health monitoring system. The system uses WBASN and Smartphone application that uses cloud computing, location data(More)
Network security is one of the major concerns of studies have been conducted on the intrusion detection system. Cluster-based Wireless A novel hybrid intrusion detection method method for wireless sensor networks. Accepted papers & International Conference on Advanced Wireless, Paper title:A Low-Complex Coverage Eligibility Algorithm For Wireless Sensor(More)
WiMAX technology is based on the IEEE 802.16 specification of which IEEE 802.16-2004 and 802.16e amendment are Physical (PHY) layer specifications. IEEE 802.16-2004 currently supports several multiple-antenna options including Space-Time Codes (STC), Multiple-Input Multiple-Output (MIMO) antenna systems and Adaptive Antenna Systems (AAS). The most recent(More)
a r t i c l e i n f o Keywords: Retinal disease Neural Networks Mobile applications for Android environments Retinal image analysis Rooted method Diabetes and Cataract are the key causes of retinal blindness for millions of people. Current detection of diabetes and Cataract from retinal images using Fundus camera is expensive and inconvenient since such(More)
The paper proposes an Efficient Cluster-based Self-organisation Algorithm (ECSA) for partitioning Wireless Sensor Networks (WSNs) into clusters, thus giving at the network a hierarchical organisation. Each sensor uses its weight based on its k-density and its residual energy to elect a cluster-head in its 2-hop neighbourhood. ECSA operates without a(More)
Wireless sensor networks (WSNs) have recently gained a lot of attention by scientific community. Small and inexpensive devices with low energy consumption and limited computing resources are increasingly being adopted in different application scenarios including environmental monitoring, target tracking and biomedical health monitoring. In many such(More)