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Bayes Node Energy Polynomial Distribution to Improve Routing in Wireless Sensor Network

机译：贝叶斯节点能量多项式分布可改善无线传感器网络中的路由

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摘要

Wireless Sensor Network monitor and control the physical world via large number of small, low-priced sensor nodes. Existing method on Wireless Sensor Network (WSN) presented sensed data communication through continuous data collection resulting in higher delay and energy consumption. To conquer the routing issue and reduce energy drain rate, Bayes Node Energy and Polynomial Distribution (BNEPD) technique is introduced with energy aware routing in the wireless sensor network. The Bayes Node Energy Distribution initially distributes the sensor nodes that detect an object of similar event (i.e., temperature, pressure, flow) into specific regions with the application of Bayes rule. The object detection of similar events is accomplished based on the bayes probabilities and is sent to the sink node resulting in minimizing the energy consumption. Next, the Polynomial Regression Function is applied to the target object of similar events considered for different sensors are combined. They are based on the minimum and maximum value of object events and are transferred to the sink node. Finally, the Poly Distribute algorithm effectively distributes the sensor nodes. The energy efficient routing path for each sensor nodes are created by data aggregation at the sink based on polynomial regression function which reduces the energy drain rate with minimum communication overhead. Experimental performance is evaluated using Dodgers Loop Sensor Data Set from UCI repository. Simulation results show that the proposed distribution algorithm significantly reduce the node energy drain rate and ensure fairness among different users reducing the communication overhead.
机译：无线传感器网络通过大量的小型，低价传感器节点来监视和控制物理世界。无线传感器网络（WSN）上的现有方法通过连续的数据收集来呈现感测的数据通信，从而导致更高的延迟和能耗。为了解决路由问题并降低能量消耗率，在无线传感器网络中引入了具有能量感知路由功能的贝叶斯节点能量和多项式分布（BNEPD）技术。贝叶斯节点能量分布最初通过应用贝叶斯规则将检测到类似事件（即温度，压力，流量）的对象的传感器节点分配到特定区域中。基于贝叶斯概率来完成对类似事件的对象检测，并将其发送到接收节点，从而将能耗降至最低。接下来，将多项式回归函数应用于针对不同传感器考虑的相似事件的目标对象。它们基于对象事件的最小值和最大值，并被传输到接收器节点。最后，Poly Distribute算法有效地分配了传感器节点。每个传感器节点的节能路由路径是通过多项式回归函数通过汇点处的数据聚合创建的，该多项式回归函数以最小的通信开销降低了能量消耗率。使用来自UCI信息库的Dodgers回路传感器数据集评估了实验性能。仿真结果表明，所提出的分配算法显着降低了节点能量消耗率，确保了不同用户之间的公平性，降低了通信开销。

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