基于无尺度网络理论的无线传感器网络模型设计毕业论文外文翻译.doc
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1、外文资料翻译原文部分:Model Design of Wireless Sensor Network based on Scale-Free Network Theory ZHANG Xuyuan dept. Communication Engineering School of Communication and Information Engineering Shanghai, ChinaAbstractThe key issue of researches on wireless sensor networks is to balanc the energy costs across t
2、he whole network and to enhance the robustness in order to extend the survival time of the whole sensor network. As a special complex network limited especially by the environment, sensor network is much different from the traditional complex networks, such as Internet network, ecological network, s
3、ocial network and etc. It is necessary to introduce a way of how to study wireless sensor network by complex network theory and analysis methods, the key of which lies in a successful modeling which is able to make complex network theory and analysis methods more suitable for the application of wire
4、less sensor network in order to achieve the optimization of some certain network characteristics of wireless sensor network. Based on generation rules of traditional scalefree networks, this paper added several restrictions to the improved model. The simulation result shows that improvements made in
5、 this paper have made the entire network have a better robustness to the random failure and the energy costs are more balanced and reasonable. This improved model which is based on the complex network theory proves more applicable to the research of wireless sensor network.Key-words:Wireless sensor
6、network; Complex network; Scale-free network I. INTRODUCTIONIn recent years, wireless sensor networks have attracted more and more related researchers for its advantages. Sensor nodes are usually low-power and non-rechargeable. The integrity of the original networks will be destroyed and other nodes
7、 will have more business burden for data transmission if the energy of some certain nodes deplete. The key issue of sensor network research is to balance the energy consumption of all sensor nodes and to minimize the impact of random failure of sensor nodes or random attacks to sensor nodes on the e
8、ntire network1. Complex network theory has been for some time since first proposed by Barabasi and Albert in 1998, but complex network theory and analysis method applied to wireless sensor networks research is seriously rare and develops in slow progress. As a special complex network limited especia
9、lly by the environment, sensor network is much different from the traditional complex network, and the existing complex network theory and analysis methods can not be directly applied to analyze sensor networks. Based on scale-free network theory (BA model) 2, (1) this paper added a random damage me
10、chanism to each sensor node when deployed in the generation rule; (2) considering the real Statement of wireless sensor networks, a minimum and maxinum restriction on sensor communication radius was added to each sensor node; (3) in order to maintain a balanced energy comsuption of the entire networ
11、k, this paper added a limited degree of saturation value to each sensor node. This improved scale-free model not only has the mentioned improvements above, but also has lots of advantages of traditional scale-free networks, such as the good ability to resist random attacks, so that the existing theo
12、ry and analysis methods of complex network will be more suitable for the researches of wireless sensor network. II. PROGRESS OF RELATED RESEARCH Hailin Zhu and Hong Luo have proposed two complex networks-based models for wireless sensor networks3, the first of which named Energy-aware evolution mode
13、l (EAEM) can organize the networks in an energy-efficient way, and can produce scale-free networks which can improve the networks reliance against random failure of the sensor nodes. In the second model named Energy-balanced evolution model (EBEM), the maximum number of links for each node is introd
14、uced into the algorithm, which can make energy consumption more balanced than the previous model (EAEM). CHEN Lijun and MAO Yingchi have proposed a topology control of wireless sensor networks under an average degree constraint4. In the precondition of the topology connectivity of wireless sensor ne
15、tworks, how to solve the sparseness of the network topology is a very important problem in a large number of sensor nodes deployed randomly. They proved their proposed scheme can decrease working nodes, guarantee network topology sparseness, predigest routing complexity and prolong network survival
16、period. LEI Ming and LI Deshi have proposed a research on selforganization reliability of wireless sensor network5, which aiming on the two situations: deficiency of WSN nodes and under external attack, analyzes the error tolerance ability of different topologies of WSN, and eventually obtains optim
17、ized selforganized topological models of WSN and proposes a refined routing algorithm based on WSN. III. IMPROVED SCALE-FREE MODEL FOR WSN Because of the limited energy and the evil application environment, wireless sensor networks may easily collapse when some certain sensor nodes are of energy dep
18、letion or destruction by the nature, and even some sensor nodes have been damaged when deployed. There is also a restriction onMaxinum and mininum communication radius of sensor nodes rather than the other known scale-free networks such as Internet network, which has no restriction on communication
19、radius. To have a balanced energy consumption, it is necessary to set up a saturation value limited degree of each sensor node6. In response to these points, based on the traditional scalefree model, this paper has made the following improvements in the process of model establishment: (1) A large nu
20、mber of researches have shown that many complex networks in nature are not only the result from internal forces, but also the result from external forces which should not be ignored to form an entire complex network. Node failure may not only occour by node energy depletion or random attacks to them
21、 when sensor networks are in the working progress, but also occour by external forces, such as by the nature, when deployed. In this paper, a mechanism of small probability of random damage has been added to the formation of sensor networks. (2) Unlike Internet network where two nodes are able to co
22、nnect directly to each other and their connection are never limited by their real location, sensor network, two nodes in which connect to each other by the way of multi-hop, so that each node has a maximum of length restriction on their communication radius. To ensure the sparse of the whole network
23、, there must also be a minimum of length restriction on their communication radius. In this paper, a length restriction on communication radius of sensor nodes has been proposed in the improved model. (3) In sensor network, if there exists a sensor node with a seriously high degree, whose energy con
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