A WSN (wireless sensor network) consists of lakhs of sensor nodes with low level energy, memory management, and computation routing capability. The real time world applications of WSN in some extreme perceive environm...A WSN (wireless sensor network) consists of lakhs of sensor nodes with low level energy, memory management, and computation routing capability. The real time world applications of WSN in some extreme perceive environment arrange sensor nodes complex to exchange once they use up the resource. Hence, lots of researchers in this field going towards on how to design a property routing protocol with extension route procedures to safety of transmission with prolong the life span of the network. The classical hybrid protocols such as LEACH and GPSR have better performance in saving the power consumption. However, the choosing formula eliminates the change of nodes’ Route will make the nodes acting as cluster heads too many times die of route with power early expressions to the consumption of too much Power and saves the route path. In this paper, we present WSN network route extension with supporting of cloud architecture of the state-of-the-art routing techniques in WSNs. Our Proposed Research belongs overcome of GPSR (Greedy Perimeter Stateless Routing) to EC-GPSR (Efficient Coverage-GPSR), ERA (Efficient Route Autonomous) and IC-GPSR (Isolated Coverage-GPSR) with solving of Route problems due to Route extension with help of cloud to store availability of routes and improve the scalability with compare AODV.展开更多
本文针对无人机自组网内部成员的运动特性,提出一种适用于无人机平滑飞行环境的移动预测算法;针对节点的稀疏性,提出了一种适合用于无人机自组网的邻节点筛选算法。鉴于GPSR协议周期性信标交换算法在无人机自组网中存在的不足,重新定义...本文针对无人机自组网内部成员的运动特性,提出一种适用于无人机平滑飞行环境的移动预测算法;针对节点的稀疏性,提出了一种适合用于无人机自组网的邻节点筛选算法。鉴于GPSR协议周期性信标交换算法在无人机自组网中存在的不足,重新定义信标,结合邻居列表维护机制及本预测算法对其进行改进,以使改进的路由协议(命名为GPSR-for Sparsity UAV Ad Hoc network based on Neighbors′number and Mobility Predication,以下简称GPSR-NMP)适用于无人机自组网环境。NS2的仿真结果表明,GPSR-NMP协议在无人机自组网中具有良好的适用性。展开更多
文摘A WSN (wireless sensor network) consists of lakhs of sensor nodes with low level energy, memory management, and computation routing capability. The real time world applications of WSN in some extreme perceive environment arrange sensor nodes complex to exchange once they use up the resource. Hence, lots of researchers in this field going towards on how to design a property routing protocol with extension route procedures to safety of transmission with prolong the life span of the network. The classical hybrid protocols such as LEACH and GPSR have better performance in saving the power consumption. However, the choosing formula eliminates the change of nodes’ Route will make the nodes acting as cluster heads too many times die of route with power early expressions to the consumption of too much Power and saves the route path. In this paper, we present WSN network route extension with supporting of cloud architecture of the state-of-the-art routing techniques in WSNs. Our Proposed Research belongs overcome of GPSR (Greedy Perimeter Stateless Routing) to EC-GPSR (Efficient Coverage-GPSR), ERA (Efficient Route Autonomous) and IC-GPSR (Isolated Coverage-GPSR) with solving of Route problems due to Route extension with help of cloud to store availability of routes and improve the scalability with compare AODV.
文摘本文针对无人机自组网内部成员的运动特性,提出一种适用于无人机平滑飞行环境的移动预测算法;针对节点的稀疏性,提出了一种适合用于无人机自组网的邻节点筛选算法。鉴于GPSR协议周期性信标交换算法在无人机自组网中存在的不足,重新定义信标,结合邻居列表维护机制及本预测算法对其进行改进,以使改进的路由协议(命名为GPSR-for Sparsity UAV Ad Hoc network based on Neighbors′number and Mobility Predication,以下简称GPSR-NMP)适用于无人机自组网环境。NS2的仿真结果表明,GPSR-NMP协议在无人机自组网中具有良好的适用性。
