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The use of the power law for designing wireless networks

Andrzej Paszkiewicz, T. Kwater, B. Twarog, Z. Gomolka, J. Bartman
2018 ITM Web of Conferences  
The paper concerns the use of the scale-free networks theory and the power law in designing wireless networks.  ...  An approach based on generating random networks as well as on the classic Barabási-Albert algorithm were presented.  ...  Random structures vs. the preferential attachment algorithm Wireless networks are characterized by very large dynamics of changes in the structure.  ... 
doi:10.1051/itmconf/20182100012 fatcat:xovkvd5olfa2tkya7bri5ysbj4

A Research on Controlling Topology of Wireless Sensor Networks Against Node Based Attacks

Controlling the topology is very important as it can affect the efficiency of Wireless-Sensor Networks (WSN).To address the problem, an approach on energy efficiency is proposed on scale free networks.  ...  The nodes in the network are evenly distributed to accommodate scaling of the network.  ...  In this paper, we discuss about Random and Targeted attacks on the node. Random attacks are attacks which chooses any node in the network randomly and attacks it.  ... 
doi:10.35940/ijitee.f1299.0486s419 fatcat:bnwb4daqczcdvkz7bfl4eyrlim

Parallel data processing architectures for identification of structural modal properties using dense wireless sensor networks [chapter]

J Lynch, D Saftner, M Shiraishi, R Swartz, M Setareh, A Zimmerman
2008 World Forum on Smart Materials and Smart Structures Technology  
In this paper, three output-only system identification methods are modified for implementation in a distributed array of processors and embedded within the computational core of a network of wireless sensors  ...  With recent advances in wireless sensing and data acquisition technology, it has become feasible to instrument a large structure with a dense array of wireless sensors.  ...  DISTRIBUTED MODAL IDENTIFICATION ON A NETWORK OF WIRELESS SENSORS In general, it is very difficult to excite a large civil structure in a controlled manner.  ... 
doi:10.1201/9781439828441.ch132 fatcat:ilwdeok4fvdzflhsmeatv7bzve

Automated Modal Parameter Estimation by Parallel Processing within Wireless Monitoring Systems

Andrew T. Zimmerman, Michihito Shiraishi, R. Andrew Swartz, Jerome P. Lynch
2008 Journal of Infrastructure Systems  
In this paper, three of these output-only methods ͑peak picking, random decrement, and frequency domain decomposition͒ are modified for implementation in a distributed array of processors embedded within  ...  Thus, additional emphasis has been placed on developing a number of output-only modal identification methods for use in structural engineering applications.  ...  Additional support in the form of advice and logistical planning was offered by Professor M. Setareh ͑Virginia Tech͒; his assistance was invaluable to the success of this work.  ... 
doi:10.1061/(asce)1076-0342(2008)14:1(102) fatcat:n2jihvjfbnat5opz3onws63uxq

Research on Invulnerability of Wireless Sensor Networks Based on Complex Network Topology Structure

Zhigang Zhao
2017 International Journal of Online Engineering (iJOE)  
Network survivability is closely dependent on the topology structure of a network. In this paper, [Note: If you use "firstly," you need to add "secondly," "thirdly,"...  ...  From the point of view of invulnerability in complex networks, the influence of different types of nodes on the sensor networks' invulnerability is analyzed.  ...  Based on the degree distribution of nodes in WSNs with scale-free topological structures, the load of node i can be defined as: i i E k !  ... 
doi:10.3991/ijoe.v13i03.6863 fatcat:7xccnnsu5bcbjh2v6rubag6y5m

Researches of a WSN with Scale-free Routing Topology

Ye Xu, Yun Chi, Xingyu Zhao
2017 International Journal of Future Generation Communication and Networking  
Based on the topological characteristics of scale-free networks, a kind of wireless sensor network routing algorithm based on scale-free was studied.  ...  First, we used multi-path principles to build a scale-free network topology based wireless sensor network and robustness is briefly discussed.  ...  Key Laboratory Project and the Open foundation of Key lab of Information Networking and Confrontation of Shenyang Ligong University (No. 4771004kfs18).  ... 
doi:10.14257/ijfgcn.2017.10.5.07 fatcat:gn6llqcxmngwfnmrm5kxn4xkda

Neuron Inspired Collaborative Transmission in Wireless Sensor Networks [chapter]

Stephan Sigg, Predrag Jakimovski, Florian Becker, Hedda R. Schmidtke, Alexander Neumann, Yusheng Ji, Michael Beigl
2012 Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering  
We establish a wireless sensor network that emulates biological neuronal structures for the purpose of creating smart spaces.  ...  In this way we show that beamforming and computation on the channel can be powerful tools to establish intelligent sensing systems even with minimal computational power.  ...  cluster "Printed Organic Circuits and Chips", and also by the Deutsche Forschungsgemeinschaft (DFG) in the project "SenseCast: Kontextprognose zur Optimierung von Netzwerkparametern in drahtlosen Sensornetzen  ... 
doi:10.1007/978-3-642-30973-1_28 fatcat:2dxmmoyyqrhhpcgchplrfhpa5e

Spatial Statistics for Wireless Networks Research

Janne Riihijärvi, Petri Mähönen
2011 Procedia Environmental Sciences  
In this paper we discuss our work on applying spatial statistics techniques for constructing models for structure of wireless networks and the way they use the radio spectrum.  ...  This situation is already starting to cause difficulties in the wireless networking research community due to the arising lack of network deployment models for performance evaluation of new wireless technologies  ...  For some network types the large-scale structure is in fact adequately represented in terms of second-order statistics by an inhomogeneous Poisson point process, with intensity function taken to follow  ... 
doi:10.1016/j.proenv.2011.07.016 fatcat:zpd7uoteovamxmzymrbk53vw5i <![CDATA[</title> <![CDATA[</title> <![CDATA[Characterizing wireless networks by spatial correlations

Janne Riihijarvi, Petri Mahonen, Michael Rubsamen
2007 IEEE Communications Letters  
We show that n-point correlation functions are powerful tools to characterize the structure of wireless networks.  ...  We argue that they convey the most interesting correlation structures in node locations, while being significantly easier and faster to compute than the classical correlation functions of stochastic geometry  ...  In ever detailed characterizations of spatial structure of real largescale wireless networks. This work also has impact on theoretical analysis and modeling of communication networks.  ... 
doi:10.1109/lcomm.2007.061015 fatcat:aslffkqekzaqhdqie5zhyhp4wi

Evaluation and Comparative Study of Structure Free Aggregation Techniques for Duty Cycled Wireless Sensor Networks

Sukhwinder Singh, Lakhwinder Kaur
2017 International Journal of Computer Applications  
First, we investigate the potential of aggregation in different structure free aggregation techniques for duty cycled sensor networks.  ...  Then the performance of the aggregation techniques is demonstrated with the help of simulations on Cooja network simulator in Contiki operating system.  ...  In this scheme, standard normal distribution is used to generate Gaussian random number for computing the aggregation delay.  ... 
doi:10.5120/ijca2017914926 fatcat:2glozvbmv5cz3n5sbujzaj7pgu

Mass Cooperative Transmission and QoS Supported Mechanism in Wireless Sensor Networks

Gelan Yang, Deguang Le, Yong Jin, Su-Qun Cao
2014 International Journal of Distributed Sensor Networks  
"Random walk based location prediction in wireless sensor networks" by Z.  ...  "High reliable relay selection approach for QoS provisioning in wireless distributed sensor networks" by Y.  ...  Acknowledgments Thanks are due to the authors of the special issue for their contributions and to the reviewers for their valuable comments on the submissions. Dr.  ... 
doi:10.1155/2014/363584 fatcat:3dgywtg7ezehhl42norpkzemue

A Novel Wireless Sensor Network Evolution Model Based on Energy-Efficiency

Hui Gao, Zhixian Yang
2017 International Journal of Online Engineering (iJOE)  
Wireless sensor networks (WSNs) had been thought to be approximately scale-free through lots of empirical research. Based on the BA model, we propose an evolution model for WSNs.  ...  model that generates scale-free networks.  ...  But nearly all existing research has failed to study the energy efficiency in WSNs from the topology structure and vertex degree distribution point of view based on complex networks.  ... 
doi:10.3991/ijoe.v13i03.6855 fatcat:p67vssy5pzd4nbjzad3gfqgguq

Universal computation with low-complexity wireless relay networks

Eric Slottke, Raphael Rolny, Armin Wittneben
2012 2012 Conference Record of the Forty Sixth Asilomar Conference on Signals, Systems and Computers (ASILOMAR)  
We propose a method for enabling complex computations in a network of low-complexity wireless devices.  ...  We provide a method for programming the network functionality in a decentralized fashion and demonstrate the robustness of wireless ANNs against node failures and imperfections.  ...  To this end, it has been recognized in literature that the interconnected topology of wireless sensor networks resembles the structure of artificial neural networks (ANNs), a model of computation abstracted  ... 
doi:10.1109/acssc.2012.6489338 dblp:conf/acssc/SlottkeRW12 fatcat:wkr67ofeurhwbntmfl6bhx7xam

C-Lnrd: A Cross-Layered Neighbor Route Discovery For Effective Packet Communication In Wireless Sensor Network

K. Kalaikumar, E. Baburaj
2017 Zenodo  
One of the problems to be addressed in wireless sensor networks is the issues related to cross layer communication.  ...  Finally, Rayleigh fading model is developed in C-LNRD to identify the performance of the sensor network communication structure.  ...  INTRODUCTION ENSOR nodes collaborate with one of the wireless sensor networks in order to operate in an entirely wireless nature, and as a result create an ad hoc network in a spontaneous manner.  ... 
doi:10.5281/zenodo.1130302 fatcat:hhdh4f6kdbdrphjebemgyynsim

Quantifying the Robustness of Complex Networks with Heterogeneous Nodes

Prasan Ratnayake, Sugandima Weragoda, Janaka Wansapura, Dharshana Kasthurirathna, Mahendra Piraveenan
2021 Mathematics  
We conclude that with the proposed measure, not only the topological structure, but also the fitness function and the fitness distribution among nodes, should be considered in evaluating the robustness  ...  Further, we adopt the same measure to compare the robustness of networks with heterogeneous nodes under varying topologies, such as the scale-free topology or the Erdős–Rényi random topology.  ...  Network science attempts to model the structure and function of complex networks.  ... 
doi:10.3390/math9212769 fatcat:3yfoenhs2rg57oxs4o6kg7yqeu
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