Mohamed Elhoseny

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In a heterogeneous Wireless Sensor Network (WSN), factors such as initial energy, data processing capability, etc. greatly influence the network lifespan. Despite the success of various clustering strategies of WSN, the numerous possible sensor clusters make searching for an optimal network structure an open challenge. In this paper, we propose a Genetic(More)
The dynamic nature of wireless sensor networks (WSNs) and numerous possible cluster configurations make searching for an optimal network structure on-the-fly an open challenge. To address this problem, we propose a genetic algorithm-based, self-organizing network clustering (GASONeC) method that provides a framework to dynamically optimize wireless sensor(More)
Wireless Sensor Networks (WSNs) have been employed in many real-world applications that greatly improve our life. The ubiquitous WSNs make security a prime issue, and new technologies have been developed recently. In this article, we review the most recent secure clustering protocols in WSNs. We start with a description of the security requirements for WSNs(More)
In this paper, we propose a novel method based on genetic algorithm for constructing the wireless sensor network to extend its functionality and availability. In our proposed method, the structure of the network is dynamically decided and the organization differs after each message transmission round. With the goal of optimizing the lifespan of the entire(More)
Placing few heterogeneous nodes in Wireless Sensor network (WSN), such as nodes with more computing powers, is an effective way to increase network availability in terms of lifetime. Despite the success of various clustering strategies of heterogeneous WSN, the numerous possible sensor clusters make searching for an optimal network structure an open(More)
This paper presents a hybrid approach to an Automated Essay Grading System (AEGS) that provides automated grading and evaluation of student essays. The proposed system has two complementary components: Writing Features Analysis tools, which rely on natural language processing (NLP) techniques and neural network grading engine, which rely on a set of(More)
Despite the great efforts to assure quality in higher education institutions, the ambiguity of its related concepts and requirements constitute a big challenge when trying to implement it as an automated information system. The present work introduces a framework for an automated information system that manages the quality assurance in higher educations(More)