Behavioral study of Random Waypoint Mobility Model based energy aware MANET

Behavioral study of Random Waypoint Mobility Model based energy aware MANET
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基于能量感知MANET的随机路点移动模型行为研究

DOI:
10.1109/spin.2016.7566772
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发表时间:
2016
期刊:
2016 3rd International Conference on Signal Processing and Integrated Networks (SPIN)
影响因子:
--
通讯作者:
J. Mehedi
J. Mehedi
中科院分区:
--
文献类型:
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作者:
Aniket Pramanik;Biplav Choudhury;Tameem S. Choudhury;W. Arif;J. Mehedi

文献摘要

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移动模式的adhoc网络影响其连通性。随机路径点移动模型是真实的环境下移动的自组网广泛采用的模型。这种移动模型很受欢迎,因为它代表了节点的随机运动,节点可以在任何时刻以随机速度向任何方向移动。本文研究了移动自组网的连通性问题,即随机路点移动模型。它的公式包含两个参数,其中第一个是在彼此的传输范围内的节点的数量。节点的剩余能量是在建立节点之间的连通性时引入的另一个参数。一个节点的能耗取决于其上运行的应用程序数量,这里的能耗指标与运行的应用程序数量成正比。节点中运行的应用程序的数量是一个随机函数,其归因于能量消耗。此外,有两种情况,其中,第一种情况认为所有的节点都充满了最初。在第二种情况下,每个节点的初始能量是一个随机函数,也属于能量消耗。对于这两种情况下,我们已经研究了节点连接,通过改变不同的参数,如用户节点的数量,模拟时间和模拟区域的尺寸。这种连通性的研究以前从未做过,因此感到有必要。
Mobility pattern of an adhoc network affects its connectivity. Random Waypoint Mobility Model is widely followed by Mobile Adhoc Networks (MANET) in real world scenario. This mobility model is popular because it represents random motion of nodes which can move in any direction at any moment at a random speed. In this paper, the connectivity of a MANET, following Random Waypoint Mobility Model has been studied. Its formula contains two parameters among which, the first one is the number of nodes that are within the transmission range of each other. Residual energy of the nodes is the other parameter that has been introduced in establishment of connectivity between nodes. Energy consumption of a node depends on the number of applications running in it. Here, the energy consumption index is proportional to the number of applications running. The number of applications running in a node is a random function which attributes to energy consumption. Also, there are two cases among which, the first one considers all the nodes are fully charged initially. In second case, initial energy of each node is a random function which also attributes to energy consumption. For both the cases, we have studied node connectivity by changing different parameters like number of user nodes, simulation time and simulation area dimensions. This study of connectivity was never done before and hence the need was felt.