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Description: 在无线传感网络中通过一种新的协作通信MAC层协议实现传感网络的生命最大化-for lifetime maximization via a new cooperative MAC protocol
in wireless sensor networks
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Author: 黄创 |
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Description: WSNs being energy constrained systems, one major problem is to employ the sensor nodes in such a manner so as to ensure maximum coverage and connectivity with minimal or optimal number of nodes and furthermore elongate network lifetime with maximum energy utilization.
The problem addressed has been tackled for 1-D linear array and further extended to 2-Dimensions as stated in the next slides.
-WSNs being energy constrained systems, one major problem is to employ the sensor nodes in such a manner so as to ensure maximum coverage and connectivity with minimal or optimal number of nodes and furthermore elongate network lifetime with maximum energy utilization.
The problem addressed has been tackled for 1-D linear array and further extended to 2-Dimensions as stated in the next slides.
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Author: suresh |
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Description: MATSNL is a package of MATLAB M-files for computing wireless sensor node
lifetime/power budget and solving optimal node architecture choice problems. It is intended
as an analysis and simulation tool for researchers and educators that are easy to use and
modify. MATSNL is designed to give the rough power/ lifetime predictions based on node
and application specifications while giving useful insight on platform design for the large
node lifetime by providing side-by-side comparison across various platforms.
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Author: martn |
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Description: 针对广泛流行的无线传感网络层次路由协议做了一点改进，算法的效率得到很大的改善，可以用NS2模拟一下-Popular for a wide range of wireless sensor network-level routing protocol to do a little improvement in the efficiency of the algorithm greatly improved, you can use NS2 simulation of what
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Author: liutianya |
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Description: MATSNL is a package of MATLAB M-files for computing wireless sensor node lifetime/power budget and solving optimal node architecture choice problems. It is intended as an analysis and simulation tool for researchers and educators that are easy to use and modify. MATSNL is designed to give the rough power/ lifetime predictions based on node and application specifications while giving useful insight on platform design for the large node lifetime by providing side-by-side comparison across various platforms
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Author: penn |
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Description:
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Author: duan |
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Description: 无线传感器的分簇算法。多轮选择簇头，簇内多跳-Wireless sensor clustering algorithm. Several rounds of cluster head selection
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Author: 房超 |
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Description: Abstract: In recent years, there has been a growing interest in wireless sensor networks. One of the major issues in wireless sensor network is developing an energy efficient routing protocol. LEACH is very effective in enhancing nodes’ lifetime from routing’s aspect.
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Author: Amir |
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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.
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Author: Amir |
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Description: Abstract
This paper talk about the communication protocol named LEACH. The protocol focuses on reducing the power consumption of wireless sensor networks, which can have significant impact on the overall energy dissipation of these networks. LEACH uses localized
coordination to enable scalability and obustness for dynamic networks, and incorporate data fusion into the routing protocol to reduce the amount of information that must be transmitted to the base station. Simulations show that LEACH can achieve as much as a factor of 8 reductions in energy dissipation compared with conventional routing protocols. In addition, LEACH is able to distribute energy dissipation evenly throughout
the sensors, doubling the useful system lifetime for the networks we simulated.
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Author: Amir |
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Description: A GRAPHICAL USER INTERFACE SIMULATOR FOR WIRELESS SENSOR NETWORKS LIFETIME ESTIMATION.
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Author: sansar |
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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
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Author: serag |
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Description: Extending the Network Lifetime of Wireless Sensor Networks Using Residual Energy Extraction—Hybrid Scheduling Algorithm-Extending the Network Lifetime of Wireless Sensor Networks Using Residual Energy Extraction—Hybrid Scheduling Algorithme
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Author: jc |
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Description: One of the most critical issues in the wireless sensor networks is the network s nodes limited availability of energy. The network lifetime strictly depends on its energy efficiency.
Clustering is a method to make the consumed energy efficient. LEACH is one of the fundamental clustering algorithms. In
this paper we have proposed an algorithm which extends LEACH by considering number of neighbors and remaining of the energy of each node to be a cluster head. We have also proposed to use gateway nodes in each cluster to enable the
cluster head to reduce its transmission radius within the cluster to achieve better power saving. We analyze and compared the proposed algorithm along with the LEACH, LEACH-c and MIMO the most recent extend over the LEACH and show that the proposed algorithm can prolong the lifetime of the network.
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Author: Mohamed Rias |
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Description: In wireless sensor networks, the power resource of
each sensor node is limited. Minimizing energy dissipation and
maximizing network lifetime are important issues in the design
of routing protocols for sensor networks. In this paper, Cluster
routing protocol LEACH (Low-Energy Adaptive Clustering
Hierarchy) is research and improved. We extend LEACH
stochastic cluster-head selection algorithm via changing the
round time According to the situation of sensor network. It is
named Variable-round LEACH. The result simulated in NS2
shows that the energy is significantly reduced and the lifetime
of the whole network is increased compared with the previous
routing algorithm for the sensor networks.
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Author: mihir |
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Description: there is a new approach Using in Wireless sensor network to Clustering, in this approach we use GA algorithm to optimize the lifetime of network.
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Author: haghighat |
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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.
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Author: 子木 |
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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
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Author: mohanad |
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Description: This article of sensor networks-This is article of sensor networks
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Author: othoth |
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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.
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Author: atrakpc@yahoo.com |
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