Description: this paper develops and analyzes low-energy adaptive clustering hierarchy (LEACH), a protocol architecture for microsensor networks
that combines the ideas of energy-efficient cluster-based routing and media access together with application-specific data aggregation
to achieve good performance in terms of system lifetime, latency,
and application-perceived quality. Platform: |
Size: 347136 |
Author:arvind |
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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: 移动网络中，AODV和DSR路由算法的matlab程序，根据已知节点可选出最优路径-Mobile networks, AODV and DSR routing algorithm matlab program, the node can be selected according to the known optimal path Platform: |
Size: 6144 |
Author:刘云 |
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Description: Energy consumption and route changes are the most important features in the design of mobile sensor routing protocols. This study references geographic position information assisted routing of an ad hoc network to design an energy efficient routing protocol. Platform: |
Size: 283648 |
Author:vino |
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Description: 一篇关于能量有效和QoS的无线传感器网络协议论文Energy efficient and QoS based routing protocol for wireless sensor networks-Energy efficient and QoS based routing protocol for wireless sensor networks Platform: |
Size: 568320 |
Author:lizhi |
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Description: The proposed routing protocol for Wireless Sensor Network is hierarchical and cluster based. The protocol supports mobility in the Sensor Nodes as well as in the Sink. The entire
protocol is described in terms of two phases namely Setup Phase and Data Forwarding Phase. After deployment of the Sensor Nodes entire sensor field in divided into some logical clusters and each cluster contains Sensor Nodes with different roles such as Gateway Node, Cluster Head Node and Ordinary Sensor Node.
Majority of the computation intensive tasks are carried out in the Sink. Simulation results show the energy efficiency of the proposed protocol. The performance of the proposed protocol
has been compared with that of CBR mobile WSN and results show better performance of the proposed protocol. Future scope of the work is outlined. Platform: |
Size: 718848 |
Author:Mohamed Rias |
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Description: Distributed Energy - Efficient Cooperative Routing in Wireless Networks. this is the seminar report of the conference paper mentioned. Platform: |
Size: 1469440 |
Author:Santosh Pawar |
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Description: Virtual multiple input multiple output (MIMO) techniques are used for energy efficient communication in wireless sensor networks. We investigate virtual MIMO for fixed and variable rates. We propose energy efficient routing based on virtual MIMO. The simulation results show that virtual MIMO based routing is more energy efficient as compared to SISO (single input single output) for larger distances. Platform: |
Size: 67584 |
Author:Starlin T S |
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Description: Advances in wireless sensor network (WSN) technology has provided the availability of small and low-cost sensor nodes with capability of sensing various types of physical and environmental conditions, data processing, and wireless communication. Variety of sensing capabilities results in profusion of application areas. However, the characteristics of wireless sensor networks require more effective methods for data forwarding and processing.
In WSN, the sensor nodes have a limited transmission range, and their processing and storage capabilities as well as their energy resources are also limited. Routing protocols for wireless sensor networks are responsible for maintaining the routes in the network and have to ensure reliable multi-hop communication under these conditions. In this paper, we give a survey of routing protocols for Wireless Sensor Network and compare their strengths and limitations.
Platform: |
Size: 223232 |
Author:pardeep |
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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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