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The wireless sensor network localization algorithm based on improved pattern genetic algorithm

Journal of Computational Information Systems 2011年第9期7卷 3031-3038页

作者： Huang, Haiping Cai, Qiwang Wang, Ruchuan She, Baoyang Ma, Yujing College of Computer Nanjing University of Posts and Telecommunications Nanjing 210003 China Jiangsu High Technology Research Key Laboratory for Wireless Sensor Networks Nanjing University of Posts and Telecommunications Nanjing 210003 China Key Lab. of Broadband Wireless Communication and Sensor Network Technology of Ministry of Education Nanjing University of Posts and Telecommunications Nanjing 210003 China College of Computer Science and Technology Nanjing University of Aeronautics and Astronautics Nanjing 210016 China

Localization is one of the important technical issues of wireless sensor networks. Based on the traditional genetic algorithm applied in node localization, this paper introduces pattern search algorithm for the selection of population, meanwhile, genetic operators are designed. The theoretical analysis and simulation results show that, even though the proportion of anchor nodes and network connectivity is poor, and distance measurements are corrupted by Gaussian noise, the improved algorithm achieves high accuracy. Thus, it can be applied to most large-scale wireless sensor networks for node localization. © 2005 by Binary Information Press.

关键词： Genetic algorithms

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Partitioned Controller Placement in SDWANs for Reliability Maximization with Latency Constraints

Partitioned Controller Placement in SDWANs for Reliability M...

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IEEE Globecom Workshops

作者： Kongzhe Yang Bangning Zhang Daoxing Guo Min Lin Tomaso de Cola Communications Engineering College Army Engineering University of PLA Nanjing China Key Lab of Broadband Wireless Communication and Sensor Network Technology Ministry of Education Nanjing University of Posts and Telecommunications Nanjing China Institute of Communications and Navigation Oberpfaffenhofen Germany

ISBN: (数字)9781728109602

ISBN: (纸本)9781728109619

The separation of the control plane from the data plane has made the novel paradigm, Software-Defined networking (SDN), available in both small-scale and large-scale networks. Unlike small-scale networks with merely one controller for deployment, employing multiple controllers is essential to meet the requirements of reliability and scalability in Software- Defined WANs (SDWANs). However, the occurrence of the node or link failures in the control plane may severely deteriorate the system performance. Therefore, how to determine the number and locations of the distributed controllers in SDWANs for enhancing network reliability with propagation latency constraints worth in-depth study. In this paper, we formulate the controller placement problem in SDWANs mathematically and propose a heuristic algorithm with low computational complexity to address it. By incorporating the centroid-based network partition scheme, we further ameliorate the CPP for maximizing reliability with latency constraints. Experiments are performed on real network topologies to validate the effectiveness of our approach for controller placement problem in SDWANs.

关键词： Reliability Switches Partitioning algorithms network topology Measurement Simulated annealing

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Adaptive correlation noise model based Wyner-Ziv distributed video coding

International Journal of Digital Content Technology and its ...

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International Journal of Digital Content technology and its Applications 2012年第14期6卷 456-468页

作者： Xiaofei, Hu Xiuchang, Zhu Key Lab of Image Processing and Image Communication College of Geography and Biological Information Nanjing University of Posts and Telecommunications Nanjing 210003 China Key Lab of Image Processing and Image Communication Key Lab ofBroadband Wireless Communication and Sensor Network Technology Nanjing University of Posts and Telecommunications Ministry of Education Nanjing 210003 China

Distributed video coding (DVC) is a novel video coding paradigm. One approach to DVC is Wyner-Ziv distributed video coding. The accuracy of the correlation noise model can influence the performance of the video coder directly. In order to enhance the accuracy of the distribution model, EM algorithm based mixture Laplace-uniform distribution model and basic Laplace-uniform distribution model for DCT alternating current coefficients are established. Then the model is selected adaptively using fuzzy inference. Experimental results suggest that the proposed mixture correlation noise model can describe the heavy tail and sudden change of the noise accurately at high rate and make significant improvement on the coding efficiency compared with the DISCOVER's noise model. Meanwhile, fuzzy inference based adaptive noise model selection method can reduce the operation complexity to some extent, while not influencing rate-distortion performance.

关键词： Image coding

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A novel integrity-preserving privacy data aggregation in sensor networks

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Journal of Computational Information Systems 2012年第20期8卷 8471-8478页

作者： Zhou, Qiang Yang, Geng Yang, Zhen Key Lab of Broadband Wireless Communication and Sensor Network Technology of Ministry of Education Nanjing University of Post and Telecommunications Nanjing 210003 China College of Computer Nanjing University of Post and Telecommunications Nanjing 210003 China College of Computer and Information Engineering Chuzhou University Chuzhou 239000 China

Data privacy and integrity preserving play important roles in application of the Internet of Things (IoT). As a part of the IoT, wireless sensor networks (WSNs) should have the function of privacy preserving and integrity checking in data aggregation. This paper proposes a novel integrity-preserving privacy data aggregation in sensor networks, which is called IPPDA. Firstly, the "slicing and assembling" technique is implemented to provide privacy preserving;then aggregation nodes perform delayed aggregation, which trades off a slight increase in communication overhead in return for the ability to execute integrity checking;finally, the child monitoring mechanism is adopted to detect the location of bogus data, remove the compromised node and eliminate communication overhead caused by bogus data. The simulation results show that IPPDA can effectively preserve data privacy, check data integrity, and get accurate data aggregation results while having less communication. © 2012 Binary Information Press.

关键词： Data privacy

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Secure query in wireless sensor network using underground parties

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Journal of networks 2012年第12期7卷 2063-2069页

作者： Huang, Haiping Dou, Yi Chen, Jiutian Feng, Juan Qin, Xiaolin College of Computer Sci. and Tech. Nanjing University of Aeronautics and Astronautics Nanjing 210016 China College of Computer Nanjing University of Posts and Telecommunications Nanjing 210003 China Jiangsu High Technology Research Key Laboratory for Wireless Sensor Networks Nanjing 210003 China Key Lab of Broadband Wireless Communication and Sensor Network Technology of Ministry of Education Nanjing China University of Posts and Telecommunications Nanjing 210003 China

Recently, secure query has become a significant issue for researchers. It proposes the concept of secure multi-party query in Internet of things or sensor networks making use of "underground parties" to guarantee network security. Based on a novel network model assumption, it adopts homomorphic privacy and secure multi-party computation techniques to realize the above mentioned secure query, and then it puts forward the horizontal and vertical query algorithm in the top-k query through cooperation of underground parties. Thereafter, by the simulation tests it compares the time efficiency of the proposed algorithm with other typical sort algorithms under different top-k scenarios. At last, it analyzes the relationship between query time and number of underground party nodes. © 2012 ACADEMY PUBLISHER.

关键词： wireless sensor networks

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Movable Antenna-Enhanced wireless Powered Mobile Edge Computing Systems

arXiv

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arXiv 2024年

作者： Chen, Pengcheng Yang, Yuxuan Lyu, Bin Yang, Zhen Jamalipour, Abbas Key Laboratory of Ministry of Education in Broadband Wireless Communication and Sensor Network Technology Nanjing University of Posts and Telecommunications Nanjing210003 China School of Electrical and Information Engineering University of Sydney SydneyNSW2006 Australia

In this paper, we propose a movable antenna (MA) enhanced scheme for wireless powered mobile edge computing (WP-MEC) system, where the hybrid access point (HAP) equipped with multiple MAs first emits wireless energy to charge wireless devices (WDs), and then receives the offloaded tasks from the WDs for edge computing. The MAs deployed at the HAP enhance the spatial degrees of freedom (DoFs) by flexibly adjusting the positions of MAs within an available region, thereby improving the efficiency of both downlink wireless energy transfer (WPT) and uplink task offloading. To balance the performance enhancement against the implementation intricacy, we further propose three types of MA positioning configurations, i.e., dynamic MA positioning, semi-dynamic MA positioning, and static MA positioning. In addition, the non-linear power conversion of energy harvesting (EH) circuits at the WDs and the finite computing capability at the edge server are taken into account. Our objective is to maximize the sum computational rate (SCR) by jointly optimizing the time allocation, positions of MAs, energy beamforming matrix, receive combing vectors, and offloading strategies of WDs. To solve the non-convex problems, efficient alternating optimization (AO) frameworks are proposed. Moreover, we propose a hybrid algorithm of particle swarm optimization with variable local search (PSO-VLS) to solve the sub-problem of MA positioning. Numerical results validate the superiority of exploiting MAs over the fixed-position antennas (FPAs) for enhancing the SCR performance of WP-MEC systems. Copyright © 2024, The Authors. All rights reserved.

关键词： Degrees of freedom (mechanics)

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An Improved Congestion Control Algorithm based on Social Awareness in Delay Tolerant networks

An Improved Congestion Control Algorithm based on Social Awa...

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IEEE International Conference on communications

作者： Kun Wang Huang Guo Lei Shu Bo Liu Key Lab of Broadband Wireless Communication and Sensor Network Technology Nanjing University of Posts and Telecommunications Nanjing China Guangdong Provincial Key Lab. of Petrochemical Equipment Fault Diagnosis Guangdong University of Petrochemical Technology Guangdong China Department of Electronic Engineering Shanghai Jiaotong University Shanghai China

The routing efficiency in Delay Tolerant networks (DTN) with social characteristics degrades owing to intermittent connection and high latency. Additionally, congestion is another issue because of the limited resources of nodes. To solve these problems, an improved Socially Aware Congestion Control algorithm (SACC) is proposed. In this algorithm, the social features and the congestion level of the node are utilized to construct a Social Congestion Metric (SCM). In the forwarding process, messages are forwarded to the nodes with higher SCM. When the congestion occurs, the node calculates the social links of itself with every message's destination node, and then drops the message with minimum social link rather than random dropping. Simulation results show that in the acceptable range of delay tolerance, the proposed algorithm improves the delivery probability, decreases the dropping probability and reduces the overhead.

关键词： Delays Routing Educational institutions Software algorithms Mobile communication Ad hoc networks

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Quantum particle swarm optimization based search space partition with application to continuous space optimization

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Journal of Information and Computational Science 2012年第2期9卷 521-531页

作者： Li, Junying Shen, Yudi Liu, Haitao Key Lab of Wireless Sensor Network and Communication Shanghai Institute of Microsystem and Information Technology Chinese Academy of Science Shanghai 200050 China Wuxi SensingNet Industrialization Research Institute Wuxi 214135 China

In view of the slowness and the locality of convergence for Particle Swarm Optimization (PSO) in solving complex continuous space optimization problems. Based the idea of wavelet analysis and quantum algorithm, this paper introduces an improved technique called quantum particle swarm optimization based search space partition (SSPQPSO). In this algorithm, the search space partition method is used to increase search accuracy and inhibit premature problem. The positions of particles are encoded by the probability amplitudes of quantum bit. Each quantum bit contains two probability amplitudes, which accelerate the process of searching. Two typical examples indicate that the novel algorithm possesses several advantages such as less chance of being trapped into premature states, higher accuracy and higher stability. As a result, SSPQPSO can be widely applied to many complex continuous space optimization problems which require higher accuracy. Copyright © 2012 Binary Information Press.

关键词： Particle swarm optimization (PSO)

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NLOS error mitigation in mobile location based on modified extended Kalman filter

NLOS error mitigation in mobile location based on modified e...

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IEEE Conference on wireless communications and networking

作者： Xin Zhou A-Long Jin Qingmin Meng National Mobile Communications Research Laboratory South East University Nanjing China Key Laboratory of Broadband Wireless Communication and Sensor Network Technology Ministry of Education China Nanjing University of Posts and Telecommunications Nanjing China

Geolocation and tracking of mobile objects is an important issue in wireless communication networks. Various methods have been devised and implemented to deal with such problems whose performance is particularly limited in non-line-of-sight propagation conditions. In this paper, we take advantage of the extended Kalman filter with some extensions, modifications and improvement of previous work to reduce the NLOS error in the location measurement. One of the key contributions of this paper is to present the methods that discriminate the NLOS measurements from the LOS measurements based on the standard deviation and K-means clustering and reconstruct the LOS measurements out of the NLOS measurements by polynomial fit in order to mitigate the NLOS error. Simulation results confirm the effectiveness and accuracy of our approach in comparison with the conventional EKF algorithm. Moreover, we do not model the distribution of the NLOS error due to its intractability.

关键词： Nonlinear optics Measurement uncertainty Noise Mobile communication Polynomials Accuracy Kalman filters

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CPC: A novel content popularity compensation algorithm for intelligent wireless router in user centric network

CPC: A novel content popularity compensation algorithm for i...

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International Conference on Intelligent System and Knowledge Engineering, ISKE

作者： Xiaoyong Lin Jie Ma Zeqiu Zhang Chao Chen Yun Xia Yang Yu Tingting Qiu Xiaoming Wang College of Tongda Nanjing University of Posts and Telecommunications Yangzhou China College of Communication & Information Engineering Nanjing University of Posts and Telecommunications Nanjing China Ministry of Education Key Lab of Broadband Wireless Communication and Sensor Network Technology (Nanjing University of Posts and Telecommunications) Nanjing China

User centric network (UCN) brought a new concept of all routers to be intelligent and definable, intelligent wireless terminals implement more video online service than general webpage exploring service, in the time of content is the king, how to provide a best user experience for the video content user under intelligent wireless routers(IWR) is a key focus in the current research of user centric network. This paper proposed a scheme of intelligent pipe between Policy server and IWR, and designed a novel content popularity compensation (CPC) algorithm in user centric network framework, the IWR obtained the user attributes and video content popularity, used the parameter of content popularity compensation index (CPI) to integrate the classified user weight (CUW) and content popularity level (CPL), the modified satisfaction degree (MSD) was designed to replace of the general index of user satisfaction degree, such as linear satisfaction degree (LSD) and simple logarithmic satisfaction (SLS). The scheduling rule was to get a maximized system MSD, and the measurement of user average satisfaction (UAS) was the evaluation standard of CPC. The simulations results showed that the CPC got the better performance than that of routine algorithms, such as max-min fairness (MMF) and Utility function (ULF), the CPC algorithm could push on the intelligent wireless router in smart home and bring a novel video content quality of experience (QoE) of future wireless video online users.

关键词： Bandwidth wireless communication Resource management Servers wireless sensor networks Telecommunications

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