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• W2968242017 abstract "Due to accelerated evolution in sensor dependency, WSN became popular. Since the past two decades, rational amounts of work have been recognized in different areas of WSN and its improvements. As a consequence of its dynamic properties and increase in its applications, it still draws researchers’ attention to improve the quality of service. Constrained to its restricted computational capabilities and limited network capacities, it is indispensable to allocate the available resources to the critical and latency-sensitive applications in order to enhance the efficacy of these nodes. In WSNs, the role of routing is crucial and one of the most significant challenges in routing is energy consumption. The routing mechanism which drains the energy of the nodes will definitely result in poor performance. Battery life is a sensitive issue of these sensor nodes, power failure or low power can cause malfunctioning of certain nodes which in turn can create considerable topological changes and can affect the accuracy of these sensor nodes. Similarly, congestion control is another significant challenge in WSNs, which can lead to a major impact on the QoS parameters. Interference among the coexisting WSNs can cause significant variation in the link quality between the access point and a particular WSN. Consequently, affecting the performance of the WSNs. Hence, the link quality is also a considerable difficulty which must be taken into account in WSNs. By keeping the above challenges in mind, a multi-parameters-based resource allocation is contemplated in order to address all the challenges discussed above and design a comprehensive model for the resource provisioning. In order to accomplish the same, a multi-parameterized joint optimization model is proposed for WSNs which in turn leads to congestion free, energy efficient, link quality and application latency aware resource allocation network model. An algorithm is defined in order to deal with the computation complexity of the proposed model. Various simulation-based experiments are conducted in order to show the efficiency of the proposed model." @default.
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• W2968242017 date "2019-08-11" @default.
• W2968242017 modified "2023-10-05" @default.
• W2968242017 title "A Comprehensive Parameterized Resource Allocation Approach for Wireless Sensor Networks" @default.
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• W2968242017 doi "https://doi.org/10.1007/978-981-13-9574-1_7" @default.
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