Palanisamy Thirumoorthy, Krishnasamy Karthikeyan N
Department of Computer Science and Engineering, Nandha Engineering College,Erode, Tamilnadu.
Department of Information Technology, Sri Krishna College of Engineering and Technology, Coimbatore, Tamilnadu, India.
PLoS One. 2015 Oct 1;10(10):e0138932. doi: 10.1371/journal.pone.0138932. eCollection 2015.
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.
无线传感器网络通过大量小型、低价的传感器节点来监测和控制物理世界。现有的无线传感器网络（WSN）方法通过持续的数据收集来呈现感知数据通信，这导致了更高的延迟和能耗。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贝叶斯节点能量与多项式分布（BNEPD）技术及能量感知路由。贝叶斯节点能量分布最初利用贝叶斯规则将检测到类似事件（即温度、压力、流量）对象的传感器节点分布到特定区域。基于贝叶斯概率完成对类似事件的对象检测，并将其发送到汇聚节点，从而使能耗最小化。接下来，将多项式回归函数应用于针对不同传感器考虑的类似事件的目标对象进行组合。它们基于对象事件的最小值和最大值，并被传输到汇聚节点。最后，多项式分布算法有效地分布传感器节点。通过汇聚节点基于多项式回归函数的数据聚合为每个传感器节点创建节能路由路径，这以最小的通信开销降低了能量消耗率。使用来自UCI库的道奇斯环路传感器数据集评估实验性能。仿真结果表明，所提出的分布算法显著降低了节点能量消耗率，并确保了不同用户之间的公平性，减少了通信开销。
