Description: 根据节点分区情况，确定成簇数目是分簇算法设计的重点，这两个算法对成簇数目进行优化，均匀节点能耗，延长网络寿命。-According to the node partition, determine the number of clusters is a clustering algorithm is designed to focus on these two algorithms to optimize the number of clusters, uniform node energy consumption, extend the network lifetime. Platform: |
Size: 774144 |
Author:苏可 |
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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.
Platform: |
Size: 108544 |
Author:suresh |
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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 Platform: |
Size: 630784 |
Author:liutianya |
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Description: 在这论文中，我们提出了跨层设计共同纳入
继电器的选择和最佳功率分配策略，以提高
合作网络寿命，大大降低整体
功耗。- In this paper, we proposed a cross-layer design jointly incorporating
best relay selection and power allocation strategies to increase
the cooperative network lifetime while minimizing the overall
power consumption. Platform: |
Size: 307200 |
Author:李超杰 |
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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. Platform: |
Size: 265216 |
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. Platform: |
Size: 260096 |
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: 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 Platform: |
Size: 371712 |
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. Platform: |
Size: 307200 |
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. Platform: |
Size: 118784 |
Author:mihir |
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Description: 比较了短信息在无标度网络、小世界网络和实际的短信息网络三种网络中的传播过程, 寻找影响短信息传播
的因素. 研究发现, 网络拓扑结构和手机用户的转发短信行为均会影响短信息传播过程. 在无标度网络中短信息传
播速率快于小世界网络和实际的短信息网络, 而无标度网络的短信息寿命较小世界网络和实际的短信息网络短
网络中手机用户的转发短信息行为明显影响短信息的传播过程. 同时还发现短信息寿命与网络直径有关.-Compared the short message in the scale-free networks, small-world networks and the actual text messages in the network three network propagation, dissemination of information to find the factors that affect the short study found that the network topology and behavior of mobile phone users are forwarding messages affect the short information dissemination process in scale-free network in the short message transmission rate is faster than the actual small-world networks and short information network, without the short-scale information network lifetime small world network and the actual network of short text messages network mobile phone users in the short message forwarding behavior significantly affect the propagation of short messages, while also found that short-life information about the network diameter. Platform: |
Size: 247808 |
Author:quqixing |
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Description: Abstract ─ Mobile Ad Hoc Network (MANET) routing is
challenged by power and bandwidth constraints as well as
frequent topology changes to which it must adapt to and
converge quickly. Energy efficient routing protocols play an
important role in MANET. This paper presents an innova-
tive energy aware routing protocol for wireless ad hoc net-
work called Energy Efficient Ad hoc On Demand Multipath
Distance Vector (E2
AOMDV) routing protocol. Ad hoc On
Demand Multipath Distance Vector (AOMDV) routing pro-
tocol presents the advantage of achieving faster and efficient
recovery from node failures. We propose the inclusion of
Energy Aware (EA) selection mechanism and the maximal
nodal surplus energy estimation in the AOMDV routing
protocol to improve its energy performance in mobile ad
hoc networks. The ‘readiness’ concept of EA Selection me-
chanism prolongs the network lifetime and the maximal -Abstract ─ Mobile Ad Hoc Network (MANET) routing is
challenged by power and bandwidth constraints as well as
frequent topology changes to which it must adapt to and
converge quickly. Energy efficient routing protocols play an
important role in MANET. This paper presents an innova-
tive energy aware routing protocol for wireless ad hoc net-
work called Energy Efficient Ad hoc On Demand Multipath
Distance Vector (E2
AOMDV) routing protocol. Ad hoc On
Demand Multipath Distance Vector (AOMDV) routing pro-
tocol presents the advantage of achieving faster and efficient
recovery from node failures. We propose the inclusion of
Energy Aware (EA) selection mechanism and the maximal
nodal surplus energy estimation in the AOMDV routing
protocol to improve its energy performance in mobile ad
hoc networks. The ‘readiness’ concept of EA Selection me-
chanism prolongs the network lifetime and the maximal Platform: |
Size: 292864 |
Author:payal |
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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: 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. Platform: |
Size: 1024 |
Author:haghighat |
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Description: TCPIP全景图，包含地球上的所有与TCPIP相关的协议，有生之年不能看完了，图很大。-TCPIP panorama, containing all related to the agreement with TCPIP on Earth, the lifetime can not read, Figure. Platform: |
Size: 446464 |
Author:youguess |
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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: |
Size: 217088 |
Author:mohanad |
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Description: In wireless sensor networks, owing to the limitation of energy, memory, and computation are necessary component to design the networks under the constraints. Prolonged network lifetime and reliability are the most common requirements for many wireless sensor networks applications.
I’d like to focus on two types of wireless sensor networks nodes Homogenous and Heterogeneous nodes. In addition, I’ll study an effective Technique which is clustering to achieve reliability in wireless sensor networks.
Platform: |
Size: 10240 |
Author:mohanad |
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Description: 排队论轮询算法的matlab性能仿真，包括简单轮询算法和加权轮询算法，比较10个节点网络的生存时间，自己写的代码~-Queuing theory polling algorithm matlab performance simulation, including a simple algorithm and weighted round robin polling algorithm and compare 10 node network lifetime, write your own code ~ Platform: |
Size: 4096 |
Author: |
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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: |
Size: 342534 |
Author:atrakpc@yahoo.com |
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Search - Network Lifetime