Description: 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 such a well-known clustering algorithm that was designed to distribute the energy consumption to nodes in the WSN evenly. LEACH is characterized by its attactive clusterbased strategy however, in the algorithm, energy dissipation of
entire network is still great during the process that cluster-heads (CH) transmit data to base station (BS). In this paper, based on
LEACH, we propose a modified clustering orithm which is named ESCAL. In ESCAL, CHs won’t communicate with BS directly, but transfer aggregated data to the nearest node in term
of received signal strength then this elected nearest node willcompress and forward the data to BS.-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 such a well-known clustering algorithm that was designed to distribute the energy consumption to nodes in the WSN evenly. LEACH is characterized by its attactive clusterbased strategy however, in the algorithm, energy dissipation of
entire network is still great during the process that cluster-heads (CH) transmit data to base station (BS). In this paper, based on
LEACH, we propose a modified clustering orithm which is named ESCAL. In ESCAL, CHs won’t communicate with BS directly, but transfer aggregated data to the nearest node in term
of received signal strength then this elected nearest node willcompress and forward the data to BS. Platform: |
Size: 86016 |
Author:Amir |
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Description: 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 RF-based sensor networks. This paper compares the
performance of such a hybrid sensor network against the wellknown
RF-based low energy adapting clustering hierarchy
(LEACH) WSN proposed in the literature. Network performance
is studied in terms of network lifetime and average network area
coverage. Simulations show that despite not employing data
aggregation, the RF/FSO WSN has a longer lifetime and larger
average network coverage when compared to the LEACH WSN Platform: |
Size: 631808 |
Author:serag |
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Description: 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 distributed asymmetrically. Focus on this
problem, this paper introduces a function to improve the
problem. This function uses the relative distance between
nodes and base station and the round number as its
parameters. Hence, the distribution of cluster head can be
symmetrical through changing parameters of the function,
and. With the increasing of running time, every node in the
network has the chance to be a cluster head, that is, the energy
consumption could be balance. The simulation result shows
that the lifetime of Wireless Sensor Network (WSN) has been
prolonged about 14 .
-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 distributed asymmetrically. Focus on this
problem, this paper introduces a function to improve the
problem. This function uses the relative distance between
nodes and base station and the round number as its
parameters. Hence, the distribution of cluster head can be
symmetrical through changing parameters of the function,
and. With the increasing of running time, every node in the
network has the chance to be a cluster head, that is, the energy
consumption could be balance. The simulation result shows
that the lifetime of Wireless Sensor Network (WSN) has been
prolonged about 14 .
Platform: |
Size: 261120 |
Author:mihir |
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Description: —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 analysis the problems existed in
LEACH routing protocol. Put forward the improved
algorithm based on LEACH cluster head multi-hops
algorithm, and under considering the premise of node
energy, consider the optimum number of cluster head and
selecting cluster node ,and through the use of limiter the
number of nodes in each cluster to balance the energy
depletion of each node. It could balance energy
consumption and prolong the lifetime of sensor network
through the use of algorithm. Emulation result indicates it
is effective.-—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 analysis the problems existed in
LEACH routing protocol. Put forward the improved
algorithm based on LEACH cluster head multi-hops
algorithm, and under considering the premise of node
energy, consider the optimum number of cluster head and
selecting cluster node ,and through the use of limiter the
number of nodes in each cluster to balance the energy
depletion of each node. It could balance energy
consumption and prolong the lifetime of sensor network
through the use of algorithm. Emulation result indicates it
is effective. Platform: |
Size: 141312 |
Author:mihir |
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Description: 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期。
-Ant Colony Algorithm based on WSN.thank you ! an improved ant colony algorithm (ACA)
is presented to form the route of mobile agent. Simulation results show that the proposed protocol can provide
less energy consumption and longer network lifetime compared with other protocols.
Platform: |
Size: 3072 |
Author:huangux |
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Description: 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为传感器节点的分布区域半径.-Fusion-based Sensor Placement for Target Detection with Guaranteed Accuracy
Abstract:In sensor networks,sensor nodes collect local data and transfer these data to the base station often relayed by other
nodes.Therefore sensor nodes that are nearer to the base station will consume more energy. If deploying sensor nodes in
general way, i.e. deploying nodes uniformly in the network, sensor nodes nearby the base station will use up energy soon and
the base station can t collect data anymore. This paper presents a density function to deploy sensor nodes through investigating
energy consumption in wireless sensor network. Theoretical analysis and simulation result show that deploying by method of
this paper improve system lifetime to times of deploying uniformly, where t is radio distance of sensor node and R is radius of
the region of deploying sensor nodes.
Platform: |
Size: 102400 |
Author:子木 |
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Description: 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 technique used for the
sensor network at hand. This research work investigates different
cryptographic techniques such as symmetric key cryptography and
asymmetric key cryptography. Furthermore, it compares different
encryption techniques such as stream cipher (RC4), block cipher
(RC2, RC5, RC6 etc) and hashing techniques (MD2, MD4, MD5,
SHA, SHA1 etc). The result of our work provides efficient
techniques for communicating device, by selecting different
comparison matrices i.e. energy consumption, processing time,
memory and expenses that satisfies both the security and restricted
resources in WSN environment to create MAC. Platform: |
Size: 747520 |
Author:zu |
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Description: 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, decreases the overall energy consumption and thus increases network operational life.The nodes in a wireless sensor network forward data towards a sink via other nodes. The limited resources on the nodes require minimum energy to be spent in this energy consuming task. This necessitates a virtual backbone that can minimize the number of hops required to reach the sink assuming that all nodes have equal transmission range. In the wireless domain, this backbone is a minimum connected dominating set.
In this paper, I propose using breadth-first search (BFS) or depth-first search (DFS) with given range to find minimum connected dominating set.
Please visit: http://iftekharkabir1987.wordpress.com/ Platform: |
Size: 174080 |
Author:jonh |
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Description: 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 community. The
increasing capabilities and the decreasing costs of mobile sensors make mobile sensor networks possible and practical. Although WSN deployments
were never envisioned to be fully static, mobility was initially regarded as having several challenges that needed to be overcome,
including connectivity, coverage, and energy consumption, among others.However, recent studies have been showing mobility in a more
favorable light. In this article, an overview of proposals that evaluate mobile communication in WSNs is presented. Platform: |
Size: 195584 |
Author:Fatma |
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Description: 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 Platform: |
Size: 3072 |
Author:姜水 |
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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. Platform: |
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. Platform: |
Size: 248832 |
Author:enis |
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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. Platform: |
Size: 2048 |
Author:Ajitpal Brar |
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Description: Localization is one of the key techniques in wireless sensor network. The location estimation methods can be classified into target/source localization and node self-localization. In target localization, we mainly introduce the energy-based method. Then we investigate the node self-localization methods. Since the widespread adoption of the wireless sensor network, the localization methods are different in various applications. And there are several challenges in some special scenarios. In this paper, we present a comprehensive survey of these challenges: localization in non-line-of-sight, node selection criteria for localization in energy-constrained network, scheduling the sensor node to optimize the tradeoff between localization performance and energy consumption, cooperative node localization, and localization algorithm in heterogeneous network. Finally, we introduce the evaluation criteria for localization in wireless sensor network. Platform: |
Size: 1106548 |
Author:atrakpc@yahoo.com |
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Description: WSN is a network of hunderds or thousands of sensor nodes densly deployed in harsh environment to monitor the various physical conditions. Platform: |
Size: 12224 |
Author:wondimubantihun2005 |
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Search - wsn energy consumption