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Prolonging the network lifetime depends on efficient management of sensing node energy resource. Energy consumption is therefore one of the most crucial design issues in WSN. Hierarchical routing protocols are best known in regard to energy efficiency. By using a clustering technique hierarchical routing protocols greatly minimize energy consumed in(More)
Many applications that use sensor data from a wireless sensor network (WSN) require corresponding node position information as well. Additionally, some routing protocols use position to determine viable routes. Several localization algorithms have been proposed which can be categorized as: range-based and range-free algorithms. In this paper, we propose a(More)
A clustering algorithm is a key technique used to increase the scalability and lifetime of the Wireless Sensor Networks (WSNs). In this paper, we propose and evaluate a distributed energy-efficient clustering algorithm for heterogeneous WSNs, which is called Position-Based Clustering (PBC). This protocol is an improvement of LEACH-E. In PBC, the(More)
—The wireless sensor networks (WSNs) is a power constrained system, since nodes run on limited power batteries which shorten its lifespan.The main challenge facing us in the design and conception of Wireless Sensor Networks (WSNs) is to find the best way to extend their life span. The clustering algorithm is a key technique used to increase the scalability(More)
Many distributed systems are still too large to be handled. Thus, it's important to find techniques that can be used to extend the size of the systems that can be verified and analyzed. In this paper, we study the qualitative and quantitative performance of the distributed systems that can be interacting with each other by using Temporized Stochastic Petri(More)
Retrieving documents in response to the user's query is the most commonly text retrieval task. For our work, we have mainly focused on detecting the semantic similarity between documents in large documents collection and queries. In this paper, we investigated MapReduce as a specific framework for managing distributed processing in dataset pattern and(More)
—With the emergence of cloud computing, the concept of trust has become a major issue. Indeed, the key challenge is to ensure to customers that the selected cloud provider may store and process the raw data safely. If this is a storage service, data can be encrypted before sending them to the cloud server; in this case, data confidentiality is assured.(More)