一种利用CGNT模型通过降低功耗水平来最大化网络寿命的新方法

Manas Ranjan Mallick, S. S. Pradhan, Jagamohan Padhi, Seema Panigrahi
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引用次数: 0

摘要

一种具有可以最小功耗和小存储器运行的嵌入式处理器的系统,其中具有低数据速率的传感器、电池、GPS系统和以低数据速率运行的收发器共同构成无线设备系统。无线设备系统中的电源具有固定值的电动势(EMF),而电动势就是电池。放置到任何无线传感器网络的EMF是固定的,并且在安装时已经部署。部署完成后,对网络中各个部件的电源进行单独管理和调整几乎是一件困难的事情。因此,优化每个节点级别的能量消耗以获得最大的网络生命时间(MNLT)是我们关注的首要问题。我们提出了一种网络流量互补分组(CGNT)模型,该模型将具有联盟路由网络的均匀分布的素数分解为两个没有联盟路由网络的标准组配置,从而更好地解决了负载均衡功率感知路由问题。为了均衡负载,避免死节点,各节点之间采用不同的路径,以最短的距离将报文从源端转发到目的端。CGNT模型方法由两个互补的异构网络组组成,一个包含拐角节点,称为网络流量拐角互补组(CCGNT),另一个包含中间节点,称为网络流量中间互补组(MCGNT)。我们的方法是遵循功率感知路由的动机以及负载平衡使用功率,其中总网络流量的单个源到目标节点路径在两组中进行不同的执行,因此我们提出的模型CGNT中所有节点的功率水平总方差得到了一个令人满意的最小值,因此与所有其他现有模型相比,这当然确保了网络的最大寿命。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A novel approach to maximize network life time by reducing power consumption level using CGNT model
A system having an embedded processor which can operate at minimum power with a small memory, where sensor having low data rate, battery, a GPS system and transceiver that operates at low data rate, collectively constitute a wireless device system. The power source in a wireless device system has a fixed value electro motive force (EMF) which is nothing but a battery. The EMF placed to any wireless sensor network is fixed and has deployed at the time of installation. After deployment it is almost difficult to manage and readjust the power source of each component individually in a network. Therefore it is our prime concernto optimize the energy consumption in each node level to have Maximum Network Life Time(MNLT). We have proposed a model name as Complementary Grouping of Network Traffic(CGNT) which gives a better solution for a load balance power aware routing by dissolving theprime uniformly distributed with coalition routing network into two standard group configurations without coalition routing network. The packets are forwarded from source to destination using shortest distance among nodes taking different path for each configuration to balance the power load and to avoid dead node. CGNT model approach consists of two complementary heterogeneous network groups, one which holds the corner nodes named as Corner Complementary Grouping of Network Traffic (CCGNT) and the other which holds the mid nodes named as Mid Complementary Grouping of Network Traffic (MCGNT). Our approach is to follow the motive of power aware routing along with the load balance use of power where individual source to destination node path of total network traffic are carried out differently in two groups, as a result of which the total variance of power level of all nodes in our proposed model CGNT comes up with a satisfactory minimal value, hence that certainly ensures a network's maximized life time as compared to all other existing models.
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