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gives an example of the energy consumption on wsn
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Abstract—the application of wireless sensor network (WSN) is always restricted by the energy shortage of sensor nodes. In order to reduce the entire energy consumption of the WSN, a promising approach is to design light clustering algorithms.LEACH is
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用遗传算法进行无线传感器网络的路由控制，降低WSN的能量损耗-Using genetic algorithms for wireless sensor network routing control and reduce energy consumption WSN
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Power consumption is an important design criterion in
the design of wireless sensor networks. Hybrid radio
frequency/free space optical wireless sensor networks (RF/FSO
WSN) have been proposed to reduce the energy consumption of
traditional R
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The cluster head is selected by the random number
generated by nodes in the hierarchical routing protocol which
is implementing Low Energy Adaptive Clustering Hierarchy
(LEACH). As a result, the cluster head may be chosen
randomly and be
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—As WSN is a resource-constrained network,
especially the limited energy, so it must maintain smaller
router information and reduce the energy consumption as
much as possible. This paper briefly introduces the wireless
sensor network, and
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A THESIS REPORT ON WSN: ENERGY CONSUMPTION IN WIRELESS SENSOR NETWORKS USING GSP
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为了在无线传感器网络中降低能耗和最大化网络生存期,提出一种能量高效的数据收集算法
(energy-efficient data gathering algorithm, EEDGA)。该算法利用移动代理模型在网络中进行数据收集。首先,
EEDGA根据监测精度的要求控制活动节点的数量 然后,通过求最小支配集得到具体的工作节点 最后,利用蚁
群算法规划移动代理迁移的最优路线,移动代理以渐进方式收集活动节点的监测数据。仿真结果表明,与典型算
法相比,该算法具有更低的能耗和更长的网络生存
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比较无线传感网络节点在不同算法下的能耗
-Comparative wireless sensor network node in different algorithm of energy consumption
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论文:在无线传感器网络中,传感器节点收集本地数据,通常通过其它节点将数据转发给基站,因而离基站越近的节点,消耗
的能量越多.如果采用通常的方法,即均匀布置传感器节点,则基站附近的节点将很快消耗完能量,基站也就无法收集数据.本
文通过研究无线传感器网络中的能量消耗,得到了一个布置传感器节点的密度函数,按此函数布置传感器节点可以有效地延长
系统的生命期.理论分析和模拟结果表明,本文的布置方案将系统生命期提高到均匀布置方案的3R2t倍,这里t为传感器节点的
通信距离,R为传感器节点的分
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Wireless Sensor Networks (WSN) are becoming popular day by day,
however one of the main issue in WSN is its limited resources. We
have to look to the resources to create Message Authentication Code
(MAC) keeping in mind the feasibility of techn
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A combining breadth-first search (BFS) or depth-first search (DFS) with aware range to find minimum connected dominating set
A backbone in a Wireless Sensor Network (WSN) reduces the communication overhead, increases the bandwidth efficiency, de
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Mobile wireless sensor networks (MWSNs) have recently launched a growing popular class of WSN in which mobility plays a key
role in the execution of the application. In recent years, mobility has become an important area of research for the WSN com
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Tmote Sky Energy Consumption document. very interresting for the WSN mesh networks.
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In recent years, research on wireless sensor networks has increased significantly because it offers the advantage of monitoring a wide variety of environments to detect physical phenomena. Wireless sensor networks consist of many sensor nodes where e
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在MATLAB环境下，对添加了不同能量消耗的传感器后无线传感器网络运行仿真的LEACH算法-In the MATLAB environment, LEACH algorithm added after the energy consumption of different sensors in wireless sensor networks to run the simulation
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The present work treats the problem of routing
data within a wireless sensors network (WSN) for industrial
process control. Our application interests British Gas to monitor
the level of propane in a tank. The considered methodology is
based o
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The aim of the present work is to develop a new
Convergecast routing technique which allows to connect many
source nodes to a single sink node via a wireless sensor network
(WSN). The synthesized method overcame the problem of energy
consumpt
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The WSN clustering based upon fuzzy logic has been discussed, which elaborates the step wise clustering on the different distances. One directional clustering has been represented. The fuzzy clustering has been represented the right to left connectio
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minimising energy consumption of nodes in wsn
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