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Search - paths problem - List
[
Program doc
]
Multiple-wireless-channels
DL : 0
短波、超短波和微波频段等多种无线信道是战术通信的主要传输通道,它是 一种开放式的自然资源,不会被消耗,不使用是浪费;但它具有与其它自然资源 不同的属性,如果使用或设计不当将会造成电波秩序混乱,特别是当多信道传输 设备聚集在一个有限的空间之内时,会引起严重的互干扰。本论文针对战术通信系统中所面临的己方电磁干扰问题,较为深入地研究了 多信道互干扰的产生原因和处理方法。 -Multiple wireless channels such as short wave,ultrashort wave and microwave ehannel are main signal paths for tactical communication.It is a kind of open natural resource,which will not be consumed,and will be wasted if not properly utilized. However,it has different features other natural resollrces.If not properly designed or used,chaos in order of electrie wave Can be caused,especially, sever mutual interference Can occur when multichannel transport devices are put together in a limited space.TIlis paper focuses on the problem of electromagnetic interference confronted in tactical communication system.It studies the causes and tries to find solutions of multichannel mutual interference.Briefly speaking,it covers the following issues:
Date
: 2025-12-18
Size
: 7.31mb
User
:
张洋
[
Program doc
]
ssd2015
DL : 0
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.
Date
: 2025-12-18
Size
: 243kb
User
:
enis
[
Program doc
]
FuzzyPSO_2010-(1)
DL : 0
A Fuzzy-Particle Swarm Optimization Based Algorithm for Solving Shortest Path Problem. Abstract—In this paper, an efficient particle swarm optimization (PSO) algorithm based on fuzzy logic for solving the single source shortest path problem (SPP) is proposed. A particle encoding/decoding scheme has been devised for particle-representation of the SPP parameters, which is free of the previously randomized path construction methods in computational problems like the SPP .The search capability of PSO is diversified by hybridizing the PSO with fuzzy logic. The local optimums will not be the point of convergence for the particles and the global optimum will be found in a shorter period of time if the PSO is correctly modified using fuzzy logic rules. Numerical computation results on several networks with random weights illustrate the efficiency of the proposed method for computation of the shortest paths in networks
Date
: 2025-12-18
Size
: 199kb
User
:
mina
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