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Description: 一种基于前向感知因子的WSN能量均衡路由方法.pdf-A former WSN based on the perception factor of energy balance routing method .pdf
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Size: 874496 |
Author: xiaowang |
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Description: Wireless Sensor Networks (WSN) is vulnerable to node capture attacks in which an attacker can capture one or
more sensor nodes and reveal all stored security information which enables him to compromise a part of the
WSN communications. Due to large number of sensor nodes and lack of information about deployment and
hardware capabilities of sensor node, key management in wireless sensor networks has become a complex task.
Limited memory resources and energy constraints are the other issues of key management in WSN. Hence an
efficient key management scheme is necessary which reduces the impact of node capture attacks and consume
less energy. In this study, we develop a cluster based technique for key management in wireless sensor network.
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Size: 145408 |
Author: senthil |
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Description: Hierarchical Energy Efficient Clustering Algorithm for WSN
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Size: 412672 |
Author: Farugh |
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Description: 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 on the algorithm CSMA / CA Slotted to access the
medium, the processing algorithm measures the volume of
propane to exploit failing sensors and intelligent routing
algorithm transmission value through the base station while
ensuring minimizing energy consumption and maximizing the life
time of nodes. The combination of these mechanisms gives birth
to a new approach which has been applied to a WSN installed in
the industry in order to analyze the performance of the
techniques developed for the quality of service Qos, the energy
conservation and extension of life.
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Size: 465920 |
Author: enis |
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Description: 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
consumption resulting the repetition of the course of the
edges during a transmission period. The proposed technique,
based on intelligent routing algorithm to transmit the collected
data to the base station, ensured a reduction of the routing paths
length. This new approach was applied to a WSN, designed to
control the temperature and volume of propane and butane in
the tanks of the British Gas Group, for minimizing the energy
consumed and increasing the life cycle of the network.
Index Terms—Convergecast routing technique,Wireless Sensor
Network WSN, Reduction of routing paths length, Minimization
of energy consumption, Elongation of the life cycle.-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
consumption resulting the repetition of the course of the
edges during a transmission period. The proposed technique,
based on intelligent routing algorithm to transmit the collected
data to the base station, ensured a reduction of the routing paths
length. This new approach was applied to a WSN, designed to
control the temperature and volume of propane and butane in
the tanks of the British Gas Group, for minimizing the energy
consumed and increasing the life cycle of the network.
Index Terms—Convergecast routing technique,Wireless Sensor
Network WSN, Reduction of routing paths length, Minimization
of energy consumption, Elongation of the life cycle.
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Size: 248832 |
Author: enis |
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Description: This code describes the distance wise clustering with circumference step cluster head selection to balance the load over the WSN cluster. The y-axis has been elected as the primary factor for the first CH selection. The energy based uation has been performed over the given WSN cluster.-This code describes the distance wise clustering with circumference step cluster head selection to balance the load over the WSN cluster. The y-axis has been elected as the primary factor for the first CH selection. The energy based uation has been performed over the given WSN cluster.
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Size: 2048 |
Author: Ajitpal Brar |
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Description: 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 connection establishment. The energy consumption has been monitored over the given simulation.-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 connection establishment. The energy consumption has been monitored over the given simulation.
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Size: 2048 |
Author: Ajitpal Brar |
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Description: A 150 nodes WSN network that has two kinds of nodes normal and advances ones depending on the Energy level s of each of them.
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Size: 1024 |
Author: Firas Al-Doghma |
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Description: it an article for energy efficient routing for WSN specially
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Size: 144384 |
Author: abba |
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Description: E-DEEC- Enhanced Distributed Energy Efficient Clustering scheme for heterogeneous WSN
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Size: 2048 |
Author: Mike |
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Description: Wireless Sensor Networks (WSN) is an emerging technology
and day by day it is attracting the attention of researchers
with its challenging characteristics and diversified application domain. The more researchers try to develop further
cost and energy efficient computing devices and algorithms
for WSN, the more challenging it becomes to fit the security
of WSN into that constrained environment. However, security is crucial to the success of applying WSN. So, familiarity
with the security aspects of WSN is essential before designing WSN system. This paper studies the security problems of
WSN based on its resource restricted design and deployment
characteristics and the security requirements for designing
a secure WSN. Also, this study documents the well known
attacks at the different layers of WSN and some counter measures against those attacks. Finally, this paper discusses on
some defensive measures of WSN giving focus on the key
management, link layer and routing security
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Size: 134144 |
Author: fetemeh |
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Description: minimising energy consumption of nodes in wsn
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Size: 1327104 |
Author: meriem |
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Description: Abstract—In recent years, as the development of wireless sensor networks, people do some deep research on clusterbased protocol, most about the prolongation of the lifetime of WSN and decline of energy consumed by the sensors .This article analyses the cluster-heads generating algorithm among LEACH and presents improved approach that adjusting the nodes, Threshold function. When non cluster-heads choose optimal cluster-head, they consider comprehensive nodes' residual energy and distance to base-station, then compare their performance, the simulation results show that the new strategy of cluster-heads election achieve great advance in sensor and networks' life-time
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Size: 425640 |
Author: elim1368 |
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Description: matlab implementation of "E-DEEC- Enhanced Distributed Energy Efficient Clustering Scheme for heterogeneous WSN "
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Size: 2048 |
Author: Areej
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Description: WSN中基于博弈论知识的功率控制建模。无线传感器网络路由技术是利用节点相互协作完成数据传输，在保证网络可靠性的同时，尽量减少节点的能量消耗，均衡整个网络的能量消耗，从而延长网络的生命周期。(Power control modeling based on game theoretic knowledge in WSN. Routing technology of wireless sensor network node for data transmission is the use of mutual cooperation, to ensure the reliability of the network at the same time, to reduce the energy consumption of the nodes, balance the energy consumption of the whole network, so as to extend the network life cycle.)
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Size: 5120 |
Author: siyue
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Description: 实现无线传感网络LEACH和EAMMH协议的比较(A brief comparison of the two energy effecient protocols in Wireless Sensor Networks (WSN) namely LEACH and EAMMH)
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Size: 19393536 |
Author: 心苑
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Description: that monitor certain conditions in different locations and transfer data
through a network to an endpoint called base station. Because WSN nodes are
often deployed outdoors where a direct power outlet may not be available, energy
efficiency becomes a key factor in the design of WSNs. This work proposes an
antenna transmission power optimisation algorithm (TPOA) which dynamically
adjusts the power level of the transmission according to the last received signal
strength indicator (RSSI). The mechanism was implemented and tested on an
XbeeWSNthat uses a modifiedMixed Hop and signalReceived routing for mobile
Wireless Sensor Networks (MHRWSN) protocol. The energy consumption results
have shown that the proposed system can save as much as 76% of power in Tx
operations while maintaining a packet reception rate of above 85%
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Size: 1959880 |
Author: elmustafasayed@gmail.com |
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