الفهرس 
English abstractsOnly 14 pages are availabe for public view
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Abstract
Internet of Things (IoT) paradigm intended to support the connectivity between smart objects so that any physical object can interact each other unmanned-wise and provide humans with a better daily experience. On the other side, cloud computing technology provides a standard framework to describe the information which is collected from the IoT milieu. Recently, new paradigms have emerged from the integration between cloud computing and IoT for designing innovative architectures depend on the virtualization technology. The term of the visualization is critical for the IoT application because it helps to improve the interaction between user and IT environment.The main objective of this thesis is to present an adaptor oriented structure framework that is based on the Sensor-as-a-Service concept (SenaaS) to maximize the utilization of sensor functionalities through improving interoperability between connected things thus increasing Quality of Service (QoS). Accordantly, this thesis introduces ITA Sensor Fabric (aka Information Fabric) which uses a Publish/Subscribe mechanism to realize an oriented communication between things regardless of their nature. Thus far ITA Sensor Fabric offers the effective solutions to experience problems in the sensor world. In reality, the structure of SenaaS raises several thorny issues in the QoS field; the most important of them are a real-time adaptive sensing and performance degradation in the long term. The proposed framework presents the searched algorithm is named Backtracking Search Optimization Algorithm (BSOA) that owns a successful mechanism to satisfy QoS-requirements particularly with these kinds of issues. NS2 v 35 based simulations proved the effectiveness of BSOA in terms of End-to-End delay, throughput, packet delivery ratio, and jitter. Moreover, we conducted a number of experiments between BSOA and Genetic Algorithm and Ant Colony Algorithm to investigate from worthiness BSOA.