یک روش برنامه ریزی پویا: بهبود عملکرد شبکه های بی سیم
|کد مقاله||سال انتشار||مقاله انگلیسی||ترجمه فارسی||تعداد کلمات|
|25736||2011||13 صفحه PDF||سفارش دهید||10907 کلمه|
Publisher : Elsevier - Science Direct (الزویر - ساینس دایرکت)
Journal : Journal of Parallel and Distributed Computing, Volume 71, Issue 11, November 2011, Pages 1447–1459
Traditional wireless networks focus on transparent data transmission where the data are processed at either the source or destination nodes. In contrast, the proposed approach aims at distributing data processing among the nodes in the network thus providing a higher processing capability than a single device. Moreover, energy consumption is balanced in the proposed scheme since the energy intensive processing will be distributed among the nodes. The performance of a wireless network is dependent on a number of factors including the available energy, energy–efficiency, data processing delay, transmission delay, routing decisions, security architecture etc. Typical existing distributed processing schemes have a fixed node or node type assigned to the processing at the design phase, for example a cluster head in wireless sensor networks aggregating the data. In contrast, the proposed approach aims to virtualize the processing, energy, and communication resources of the entire heterogeneous network and dynamically distribute processing steps along the communication path while optimizing performance. Moreover, the security of the communication is considered an important factor in the decision to either process or forward the data. Overall, the proposed scheme creates a wireless “computing cloud” where the processing tasks are dynamically assigned to the nodes using the Dynamic Programming (DP) methodology. The processing and transmission decisions are analytically derived from network models in order to optimize the utilization of the network resources including: available energy, processing capacity, security overhead, bandwidth etc. The proposed DP-based scheme is mathematically derived thus guaranteeing performance. Moreover, the scheme is verified through network simulations. Highlights ► A model which evaluates tradeoff between execution and delegation of tasks. ► Developed a DP-based solution to evaluate tradeoff between user defined metrics. ► Mathematical analysis that guarantees the performance of generic wireless networks.
نتیجه گیری انگلیسی
The proposed DPDP based communication and task-scheduling scheme improves the performance of wireless networks against regular WSN scenarios. It has reduced the energy consumption costs for the data transmission as well as the processing cost by 65% and practically doubled the network lifetime. Also, it reduced the energy inequalities among the network thus improving utilization of the network resources. Additionally, the communication cost in terms of delay is reduced since fewer bits have to be transmitted. Consequently, the communication bottlenecks have less effect on the quality of service. The proposed DPDP based communication model reduces the costs in terms of energy consumption and the overhead from the implementation of the security scheme. The proposed scheme helps in improving the performance of the networks from most of the network metrics’ perspective and it is not focused on improving a performance of the network from a single metric perspective.