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On the Delivery of Augmented information Services over Wireless Computing networks

On the Delivery of Augmented Information Services over Wirel...

引用

IEEE international Conference on Communications (ICC) / Wireless Communications symposium / 3rd Workshop on Optical Wireless Communications (OWC)

作者： Feng, Hao Llorca, Jaime Tulino, Antonia M. Molisch, Andreas F. Univ Southern Calif Los Angeles CA 90007 USA Nokia Bell Labs Murray Hill NJ 07974 USA Univ Naples Federico II Naples Italy

ISBN: (纸本)9781467389990

In an augmented information (AgI) service, users consume information that results from the execution of a chain of service functions that process source information to create real-time augmented value. Applications may include real-time analysis of remote sensing data, real-time computer vision, personalized video streaming, and augmented reality, among others. We consider the problem of optimal distribution of AgI services over a wireless computing network, in which nodes are equipped with both communication and computing resources. We characterize the wireless computing network capacity region and design a joint flow scheduling and resource allocation algorithm that stabilizes the underlying queuing system while achieving arbitrarily close to minimum network cost, with a tradeoff in network delay. Our solution captures the unique chaining and flow scaling aspects of AgI services, while exploiting the use of the broadcast approach over the wireless channel.

关键词： Wireless communication Ad hoc networks Cloud computing Resource management Wireless sensor networks Real-time systems Algorithm design and analysis

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An IoT Service-Oriented System for Agriculture Monitoring

An IoT Service-Oriented System for Agriculture Monitoring

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IEEE international Conference on Communications (ICC) / Wireless Communications symposium / 3rd Workshop on Optical Wireless Communications (OWC)

作者： Cambra, Carlos Sendra, Sandra Lloret, Jaime Garcia, Laura Univ Politecn Valencia Valencia Spain Univ Granada Dept Signal Theory Telemat & Commun TSTC Granada Spain

ISBN: (纸本)9781467389990

Wireless sensor networks (WSNs), Internet of things (IoT) and aerial mapping are nowadays being used very much in agriculture. The challenge of joining those technologies requires a new and smart wireless network topology for devices communication. Problems like scalability and manageability are important challenges when there are many devices. This paper presents the design of a smart IoT communication system manager used as a low cost irrigation controller. The proposal is a powerful irrigation tool that uses real time data such as the variable rate irrigation and some parameters taken from the field. The field parameters, the index vegetation (estimated using aerial images) and the irrigation events, such as flow level, pressure level or wind speed, are periodically sampled. Data is processed in a smart cloud service based on the Drools Guvnor (a Business Rules Manager). The developed multimedia platform can be controlled remotely by a mobile phone. Finally, we measured the bandwidth consumed when the system is sending different kinds of commands and data.

关键词： Dula processing system sensor data integration Agro IoT Wireless sensor Network Farming Data SOA Service Integration

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Charm: Exploiting Geographical Diversity through Coherent Combining in Low-Power Wide-Area networks

Charm: Exploiting Geographical Diversity through Coherent Co...

引用

international symposium on information processing in sensor networks (IPSN)

作者： Adwait Dongare Revathy Narayanan Akshay Gadre Anh Luong Artur Balanuta Swarun Kumar Bob Iannucci Anthony Rowe Carnegie Mellon University Carnegie Mellon University IIT Madras Carnegie Mellon University Instituto Superior Tecnico Lisbon

Low-Power Wide-Area networks (LPWANs) are an emerging wireless platform which can support battery-powered devices lasting 10-years while communicating at low data-rates to gateways several kilometers away. Not all such devices will experience the promised 10 year battery life despite the high density of LPWAN gateways expected in cities. Transmission from devices located deep within buildings or in remote neighborhoods will suffer severe attenuation forcing the use of slow data-rates to reach even the closest gateway, thus resulting in battery drain. This paper presents Charm, a system that enhances both the battery life of client devices and the coverage of LPWANs in large urban deployments. Charm allows multiple LoRaWAN gateways to pool their received signals in the cloud, coherently combining them to detect weak signals that are not decodable at any individual gateway. Through a novel hardware and software design at the gateway, Charm carefully detects which chunks of the received signal need to be sent to the cloud, thereby saving uplink bandwidth. We present a scalable solution to decoding weak transmissions at city-scale by identifying the set of gateways whose signals need to be coherently combined over time. In evaluations over a test network and from simulations using traces from a large LoRaWAN deployment in Pittsburgh, Pennsylvania, Charm demonstrates a gain of up to 3x in range and 4x in client battery-life.

关键词： Logic gates Cloud computing Diversity reception Batteries Hardware MIMO communication Urban areas

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Renovating Location-based Routing for Integrated Communication Privacy and Efficiency in IoT

Renovating Location-based Routing for Integrated Communicati...

引用

IEEE international Conference on Communications (ICC) / Wireless Communications symposium / 3rd Workshop on Optical Wireless Communications (OWC)

作者： Shu, Tao Cui, Shuguang Auburn Univ Dept Comp Sci & Software Engn Auburn AL 36849 USA Univ Calif Davis Dept Elect & Comp Engn Davis CA USA

ISBN: (纸本)9781467389990

This paper presents HC-LBR routing, the first location-based routing (LBR) mechanism that simultaneously retains high communication efficiency and privacy for Internet of Things (IoT). Existing LBR schemes were originally designed for wireless sensor networks (WSNs). Although they offer attractive efficiency and scalability, their privacy performance presents a vulnerability when being used in IoT. This is because, unlike a conventional WSN where all nodes are owned by the same user, an IoT network has an open architecture in which nodes owned by different users are mixed and work together. Therefore, when LBR is directly used in an IoT network, the sharing of location information among alien nodes allows one user to peek into the communication privacy of other users. HC-LBR overcomes this privacy weakness by computing efficient geographic routes directly based on Hilbert-Curve-encrypted location information. HC-LBR consists of two components: A Kademlia-tree-based routing algorithm that supports efficient geographic routing in HC encrypted space, and Rand-Mix, a lightweight traffic mixer that uses multiple traffic flows to enhance the privacy of HC routing. Our simulation-based evaluation verifies the high efficiency and privacy of the proposed methods.

关键词： Routing Privacy Indexes Wireless sensor networks Encryption Two dimensional displays

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Distributed Estimation of a Spatially Correlated Random Field in Decentralized sensor networks

Distributed Estimation of a Spatially Correlated Random Fiel...

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IEEE international Conference on Communications (ICC) / Wireless Communications symposium / 3rd Workshop on Optical Wireless Communications (OWC)

作者： Wang, Zuoen Wu, Jingxian Yang, Jing Univ Arkansas Dept Elect Engn Fayetteville AR 72701 USA Penn State Univ Sch Elect Engn & Comp Sci University Pk PA 16802 USA

ISBN: (纸本)9781467389990

We study the distributed estimations of a spatially correlated random field with decentralized wireless sensor networks (WSNs). Nodes in the WSN take spatial samples of the random field, then each node estimates the values of arbitrary points on the random field by iteratively exchanging information with each other, without the need of a central controller. The objective is to minimize the time (or number of iterations) required for all nodes in the network to reach a distributed consensus on the estimation result, with mean squared error (MSE) below a certain threshold. We find the sufficient conditions for this optimization problem, and identify the asymptotically optimum solutions when time is large and the MSE threshold is small. Specifically, we propose a distributed iterative estimation algorithm that defines the procedures for both information propagation and information estimation in each iteration. The key parameters of the algorithm, including an edge weight matrix and a sample weight matrix, are designed by following the asymptotically optimum criteria. It is shown that the asymptotically optimum performance can be achieved by distributively projecting the measurement samples into a subspace related to the covariance matrices of data and noise samples. Simulation results show that all nodes in a large network can obtain accurate estimation results with only a few iterations.

关键词： Relays Throughput Correlation Protocols Ad hoc networks Cooperative systems Benchmark testing

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Indoor Multi Human Target Tracking Based on PIR sensor Network 1

引用

3rd international Conference on Cognitive Systems and information processing (ICCSIP)

作者： Sun, Xinyue Liu, Meiqin Sheng, Weihua Zhang, Senlin Fan, Zhen Zhejiang Univ Coll Elect Engn Hangzhou 310027 Zhejiang Peoples R China Oklahoma State Univ Sch Elect & Comp Engn Stillwater OK 74078 USA

ISBN: (数字)9789811052309

ISBN: (纸本)9789811052309;9789811052293

In order to solve the problem of human target tracking in smart-home Wireless sensor Network (WSN) environment, and only based on limited measurement data of Binary PIR sensors, the sensor networks joint likelihood is derived, which proposes the indoor PIR sensor network Binary Auxiliary Particle Filter (Bin-APF) fusion estimate algorithm further more. Meanwhile, as for the problem of multiple human targets measurement classification and trajectory association, combined with PIR's binary measurement, an improved K-Nearest Neighbor algorithm is adopted. And according to parameters of current experimental environment, a simulation is carried out, which contributes to the algorithm proposed. Experiment and Simulation results indicate that the MTT-KNN-Bin-APF algorithm accord well with the expectation of in-home multiple human target localization and tracking in consideration of actual result and error precision. Moreover, the algorithm is in low dependency of sensor network's layout, which is suitable for various type of household arrangement. The method provides a solution to indoor human target tracking and is promising in the field of smart home.

关键词： Wireless sensor Network Multi target tracking K-Nearest Neighbor algorithm Auxiliary Particle Filter information fusion

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A Combined Optical Spectrum Scrambling and Defragmentation in Multi-Core Fiber networks

A Combined Optical Spectrum Scrambling and Defragmentation i...

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IEEE international Conference on Communications (ICC) / Wireless Communications symposium / 3rd Workshop on Optical Wireless Communications (OWC)

作者： Singh, Sandeep Kumar Bziuk, Wolfgang Jukan, Admela Tech Univ Braunschweig Braunschweig Germany

ISBN: (纸本)9781467389990

Scrambling or information randomization has been effectively used in various applications to prevent the information falling into the hands of rogue attackers. In this paper, we use the idea of spectrum scrambling to proactively randomize the spectrum across multiple fiber cores to improve connections' security, while at the same time effectively defragmenting the spectrum to improve connections' blocking performance. To this end, we propose a scheme called random spectrum defragmentation (RSD), and model the occupancy pattern of a multi-core fiber link using a multi-class continuous-time Markov chain (CTMC) under the two different spectrum allocation methods, first-fit and random-fit. As the efforts have been on preventing unauthorized access to optical channels, we show that scrambling can be effectively used to help dealing with the physical layer attacks. At the same time, numerical results show that also the blocking can be improved for a particular so-called randomization process (RP) arrival rate, and lower connection reconfiguration time.

关键词： Silicon Multicore processing Security Optical fiber networks Analytical models Optical fibers

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A Non-uniform Quantization Filter Based on Adaptive Quantization Interval in WSNs 1

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3rd international Conference on Cognitive Systems and information processing (ICCSIP)

作者： Wen, Chenglin Zhu, Chaoyang Xu, Daxing Quan, Lidi Hangzhou Dianzi Univ Inst Syst Sci & Control Engn Hangzhou 310018 Zhejiang Peoples R China Huzhou Univ Collage Engn Huzhou 313000 Peoples R China

ISBN: (数字)9789811052309

ISBN: (纸本)9789811052309;9789811052293

Wireless sensor networks (WSNs) fusion systems are usually faced with the communication bandwidth constraints, so it is necessary to adopt quantization. The existing quantization is usually under the assumption of known distribution function of data. However, obtaining the accurate distribution function of data is impossible. Therefore, in this paper, based on the obtained measurements, a kind of non-uniform quantization strategy under the principle of least square sum of quantization error is proposed firstly. Then, the solving method of non-uniform quantizing points based on adaptive quantization interval is presented. Next, we further provide a recursive updating method of quantizing points which include semi real-time update and real-time update. Finally, on the basis of the new method, we establish the Kalman Filter based on the new idea of Non-uniform Quantization and give some analysis of performance, which includes the theoretical part and experiment simulation.

关键词： Non-uniform quantization filter sensor network Adaptive quantization interval Bandwidth-constrained Updating of non-uniform quantizing point

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3rd international Conference on Cognitive Systems and information processing, ICCSIP 2016

3rd International Conference on Cognitive Systems and Inform...

引用

3rd international Conference on Cognitive Systems and information processing, ICCSIP 2016

ISBN: (纸本)9789811052293

The proceedings contain 59 papers. The special focus in this conference is on Cognitive Systems and information processing. The topics include: A novel pulsar navigation method based on an asynchronous observation model;event-triggered adaptive dynamic programming for uncertain nonlinear systems;adaptive terminal sliding mode control for formations of underactuated vessels;real-time distributed optimal control considering power supply constraint for deferrable loads scheduling;robust adaptive neural fault-tolerant control of hypersonic flight vehicle;mechanical design and tactile sensing in dexterous robot hands manipulation;self-tuning motion model for visual tracking;bio-inspired night image enhancement based on contrast enhancement and denoising;a robust feature extraction method for image-based visual servoing;visual cognition-driven SAR multiple targets robust feature extraction, recognition and tracking;stixel world based long-term object tracking for intelligent driving;hand gestures recognition from multi-channel forearm EMG signals;hand gestures recognition from multi-channel forearm EMG signals;development of operation estimation method based on tracking records captured by kinect;sex difference of saccade patterns in emotional facial expression recognition;efficient CNN-CRF network for retinal image segmentation;a novel prediction scheme for hot rolled strip thickness based on extreme learning machine;extreme learning machine based modified deep auto-encoder network classifier algorithm;an approach of ship routing plan based on support vector machine;abnormal events detection using deep networks for video surveillance;traffic sign detection with convolutional neural networks and a flexible capacitive tactile sensor for manipulator.

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Verifiable Range Query processing for Cloud Computing 13th

Verifiable Range Query Processing for Cloud Computing

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13th international Conference on information Security Practice and Experience (ISPEC) / 3rd international symposium on Security and Privacy in Social networks and Big Data (SocialSec)

作者： Li, Yanling Lai, Junzuo Wang, Chuansheng Zhang, Jianghe Xiong, Jie Jinan Univ Dept Comp Sci Guangzhou Peoples R China State Key Lab Cryptol Beijing Peoples R China

ISBN: (纸本)9783319723594;9783319723587

With the popularity of cloud computing technology, the clients usually store a mass of data in the cloud server. Because of the untrusted cloud servers, the massive data query raises privacy concerns. To prevent sensitive data on the cloud from hostile attacking, and obtain the query result timely, users usually use the searchable encryption technology to store encrypted data on the cloud. In the prior work, there are many privacy-preserving schemes for cloud computing, but the verification of these schemes cannot be ensured. Due to software errors, communication transmission failure or the dishonest features of the public cloud servers, only part of the data set was searched. So the integrity is also an urgent problem to be solved. In this paper, we propose a verifiable range query processing scheme with the ability to verify the correctness of query result. The key idea of this paper is to add additional information to a complete binary tree, which is used to organize indexing elements. The result returned by the cloud server will be accompanied by validation information so that the user can verify whether the result is complete. Finally, we confirm that the storage overhead of the verifiable scheme is O(n log n), where n is the total number of data items, and implement our scheme to testify to its practicability.

关键词： Cloud computing Range query Verification

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