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Building Optimal Topologies for Real-Time Wireless Sensor Networks

机译:为实时无线传感器网络构建最佳拓扑

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Wireless Sensor Networks acclaimed a wide popularity because of their low cost and their easiness to be deployed in remote areas where human intervention is very minimal. However, these deployments have constrained by the resources such as power, memory, processing power etc. In order to enhance the reliability and life-time of these networks, it is necessary to develop algorithms that minimize the resource usage. In sensor networks, the topology places a key role in optimizing the resources. If we design a proper topology, a large area can be covered with relatively less number of nodes compared to the normal flat/clustering techniques. This research work deals with creating optimum network topologies that minimizes delay and makes efficient use of available buffer size, lesser intermediate nodes and so on. This paper discusses a set of schemes that design suitable networks under the constraints such as varying data rate, varying packet size and so on. This work discusses schemes that find the optimal number of intermediate nodes for a given set of lower level nodes with varying data rates. This work also discusses a set of algorithms that chooses maximum number of lower level nodes for a given set of intermediate nodes with limited buffer.
机译:无线传感器网络因其成本低廉且易于在人为干预极少的偏远地区进行部署而广受好评。但是,这些部署受到诸如功率,内存,处理能力等资源的约束。为了增强这些网络的可靠性和使用寿命,有必要开发使资源使用最小化的算法。在传感器网络中,拓扑在优化资源方面起着关键作用。如果我们设计适当的拓扑,则与普通的平面/群集技术相比,可以用相对较少数量的节点覆盖较大的区域。这项研究工作涉及创建最佳网络拓扑,该拓扑可最大程度地减少延迟并有效利用可用的缓冲区大小,较少的中间节点等。本文讨论了一组在可变数据速率,可变数据包大小等约束下设计合适网络的方案。这项工作讨论了为具有不同数据速率的一组给定的较低级节点找到最佳中间节点数的方案。这项工作还讨论了一组算法,该算法为具有有限缓冲区的给定中间节点集选择最大数量的较低层节点。

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