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A Content Aware Framework with Optimal Path Selection in Wireless Sensor Networks

机译:具有无线传感器网络中最佳路径选择的内容感知框架

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摘要

The energy utilization and route selection are the key challenges for most the routing protocols in wireless sensor network. Wireless sensor network consists of set of autonomous sensor devices which are operated by battery power and have limited resources. In traditional routing most of the routing protocols uses multi-path routing and cluster method to increase the network life time and minimize the energy consumption. In the network model, we have developed a Content Aware framework for data Routing (CAR) with reliable path selection and content specific between source and destination. The network model performs better as compare to existing data-centric protocols such as DD and SPIN in terms of throughput and energy consumption.
机译:能量利用率和路由选择是无线传感器网络中大多数路由协议的关键挑战。 无线传感器网络由一组自主传感器设备组成,由电池电量运行并具有有限的资源。 在传统路由中,大多数路由协议使用多路径路由和群集方法来增加网络寿命并最小化能量消耗。 在网络模型中,我们已经为数据路由(CAR)开发了一个内容意识框架,具有可靠的路径选择和源和目标之间的内容。 网络模型更好地与现有的数据为中心协议(例如DD)进行比较,并且在吞吐量和能量消耗方面旋转。

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