Description: 有关无线传感器网络能量管理系统研究的一篇很好的文章,希望对大家有用-Related to wireless sensor network energy management system in a very good article, in the hope that useful to everybody Platform: |
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Author:yinghui |
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Description: 在matlab下对无线传感器网络进行仿真，这是对基于选票分簇算法能量消耗的研究，里面有注释很明了。-In matlab on wireless sensor network simulation, this is a clustering algorithm based on the votes energy research, there are very clear notes. Platform: |
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Author:王琳 |
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Description: All the PDF file is about the data management in wireless sensor network, especially the side of energy efficiency Platform: |
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Author:lining |
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Description: 无线传感器网络的可靠路由算法，可以选择保证可靠性条件下的最小能耗路由-Reliable wireless sensor network routing algorithm, you can choose to ensure reliability under the condition of minimum energy routing Platform: |
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Author:陈永锐 |
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Description: 无线传感器网络自组织成簇问题优化模型
为了有效延长网络的运行时间，需要设计能量最优的自组织成簇机制，以适应传感器网络的特点。本文提出了一种适合无线传感器网络的能量有效的成簇优化模型。-Self-organizing wireless sensor network problems optimization model cluster in order to effectively extend the network run-time, the energy necessary to design the optimal mechanism for self-organizing clusters, in order to adapt to the characteristics of sensor networks. This paper presents a wireless sensor networks for energy efficient cluster optimization model. Platform: |
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Author:中种种 |
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Description: 本文根据无线传感器器网络的特点，建立了单目标成簇优化模型，以全网能量消耗最小化为目标，同时考虑了节点的能量消耗以及链路负载均衡等问题-In this paper, wireless sensor network in accordance with the characteristics of the establishment of a single-objective optimization model of clusters to the whole network into the smallest energy consumption, taking into account the node energy consumption, as well as issues such as link load balancing Platform: |
Size: 114688 |
Author:中种种 |
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Description: 本文的主要内容是对无线传感器网络的路由协议的设计，无线传感器网络
节点数量庞大、单个节点资源极其有限，其路由协议设计的首要目标是有效节
约能源，延长网络生命周期。作者分析和比较了国外提出的几种针对无线传感
器网络的路由协议，并借鉴其中的优秀思想，设计出一种基于协商机制的能源
有效性路由协议――NBEERP。-The main contents of this article is a wireless sensor network routing protocol design, wireless sensor network node large number of extremely limited resources to a single node, the routing protocol s overriding objective is to design an effective energy conservation, to extend the network life cycle. Authors analyzed and compared to several foreign countries for wireless sensor network routing protocols, and learn from one of the best ideas, design a consultative mechanism on energy effectiveness of routing protocols- NBEERP. Platform: |
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Author:wen |
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Description: This the Low Energy Adaptive Clustering Hierarchy routing protocol [LEACH] source code for wireless sensor network we have used.It is developed with MatLab7-This is the Low Energy Adaptive Clustering Hierarchy routing protocol [LEACH] source code for wireless sensor network we have used.It is developed with MatLab7 Platform: |
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Author:zamree |
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Description: In this thesis we have concentrated on energy consumption issue and aim to develop an energy efficient data aggregation protocol. To provide energy efficiency we have considered a cluster-based wireless sensor network. Platform: |
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Author:sireine |
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Description: The need to reprogramme a wireless sensor network may arise from
changing application requirements, bug fixes, or during the application
development cycle. Once deployed, it will be impractical at
best to reach each individual node. Thus, a scheme is required to
wirelessly reprogramme the nodes. We present an energy-efficient
code distribution scheme to wirelessly update the code running in
a sensor network. Energy is saved by distributing only the changes
to the currently running code. The new code image is built using
an edit script of commands that are easy to process by the nodes.
A small change to the programme code can cause many changes to
the binary code because the addresses of functions and data change.
A naive approach to building the edit script string would result in
a large script. We describe a number of optimisations and present
experimental results showing that these significantly reduce the edit Platform: |
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Author:jok |
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Description: Abstract: The optimal number of cluster heads is an important parameter of wireless sensor network performance. Network nodes will consume more energy if the number of cluster heads is too much or too little. This paper focuses on novel calculation method for ptimal number of cluster heads. Base on the analysis of LEACH energy dissipation model,novel lation method is derived from the total energy dissipation of a round. Simulation shows the
relationship of the optimal number of cluster heads, the number of frames in steady state phase and the distance between cluster heads and base station (BS).And it provides a theoretical basis for calculation of optimal number of cluster heads which can reduce
the energy consumption among nodes and achieves
an improvement on the network lifetime. Platform: |
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Author:Amir |
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Description: LEACH - Low Energy Adaptive Clustering Hierarchy, a routing algorithm in wireless sensor network, it s implemented in NS-2. Platform: |
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Author:son |
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Description: this a code for analytically showing energy consumption degradation with network coding in wireless sensor networks-this is a code for analytically showing energy consumption degradation with network coding in wireless sensor networks Platform: |
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Author:morteza |
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Description: In wireless sensor networks, owing to the limitation of energy, memory, and computation, it is necessary to design the networks under the constraints. Prolonged network lifetime and reliability are the most common requirements for many wireless sensor network applications. Clustering sensor nodes is an effective technique to achieve these goals Platform: |
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Author:mohanad |
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Description: Energy is one of the most important items to determine the network lifetime due to low power energy nodes included in the network. Generally, data aggregation tree concept is used to find an energy efficient solution. However, even the best aggregation tree does not share the load of data packets to the transmitting nodes fairly while it is consuming the lowest possible energy of the network. Therefore, after some rounds, this problem causes to consume the whole energy of some heavily loaded nodes and hence results in with the death of the network. In this paper, by using the Genetic Algorithm (GA), we investigate the energy efficient data collecting spanning trees to find a suitable route which balances the data load throughout the network and thus balances the residual energy in the network in addition to consuming totally low power of the network. Using an algorithm which is able to balance the residual energy among the nodes can help the network to withstand more and consequently extend its own lifetime. In this work, we calculate all possible routes represented by the aggregation trees through the genetic algorithm. GA finds the optimum tree which is able to balance the data load and the energy in the network. Simulation results show that this balancing operation practically increases the network lifetime. Platform: |
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Author:atrakpc@yahoo.com |
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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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Search - energy wireless sensor network