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检索条件"任意字段=Conference on Next-Generation Communication and Sensor Networks 2007"

共 1569 条记录，以下是261-270 订阅

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Advanced Spectrum Management For next-generation Vehicular communication: An AI Approach

Advanced Spectrum Management For Next-Generation Vehicular C...

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International conference and Workshop on Computing and communication (IEMCON)

作者： Sachin Sharma Kamal Kumar Ghanshala Seshadri Mohan Department of Computer Science and Engineering Graphic Era Deemed to be University Dehradun India Department of Systems Engineering University of Arkansas at Little Rock Little Rock USA

ISBN: (纸本)9781728125312

In the era of explosive growth of multimedia applications and services, with the onset of new autonomous vehicular technology demands and the demand on limited spectrum resources, the future presents an excellent opportunity for telecom, automotive, IoT and OEM industry. This opportunity requires an advanced management of available spectrum and a new mindset amongst wireless service providers that calls for reallocation of available spectrum resources to reposition them in the next-generation vehicular networking technology market. As far as innovation in vehicular technology, the business showcase with autonomous vehicles demands new approaches for their integration into contemporary vehicular communication network. The communication establishment among autonomous vehicles for long period with very little delay poses a formidable challenge. The paper proposes a decentralized approach to spectrum management amongst multiple operators. Each operator collects and evaluates data about autonomous vehicle user and manages spectrum allocation independently. So, the objective is to create an algorithm for optimal spectrum utilization and synchronization with other operators. This paper proposes an AI-based, linear programming and game-theoretic approach to cooperation between, and distributed spectrum management by, multiple wireless service providers (WSPs'). This paper explores the need for such a system that employs a suitable artificial intelligence mechanism that may provide a better solution to the problem of spectrum management.

关键词： Autonomous vehicles Radio spectrum management Wireless communication Games Intelligent sensors Wireless sensor networks

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IMAGE RECONSTRUCTION FOR QUANTA IMAGE sensorS USING DEEP NEURAL networks

IMAGE RECONSTRUCTION FOR QUANTA IMAGE SENSORS USING DEEP NEU...

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IEEE International conference on Acoustics, Speech and Signal Processing (ICASSP)

作者： Choi, Joon Hee Elgendy, Omar A. Chan, Stanley H. Purdue Univ Sch ECE W Lafayette IN 47907 USA Purdue Univ Dept Stat W Lafayette IN 47907 USA

ISBN: (纸本)9781538646588

Quanta Image sensor (QIS) is a single-photon image sensor that oversamples the light field to generate binary measurements. Its single-photon sensitivity makes it an ideal candidate for the next generation image sensor after CMOS. However, image reconstruction of the sensor remains a challenging issue. Existing image reconstruction algorithms are largely based on optimization. In this paper, we present the first deep neural network approach for QIS image reconstruction. Our deep neural network takes the binary bit stream of QIS as input, learns the nonlinear transformation and de-noising simultaneously. Experimental results show that the proposed network produces significantly better reconstruction results compared to existing methods.

关键词： Quanta Image sensor single-photon imaging image reconstruction deep neural networks

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Cross Layer and Management Plane Integration Approach for Detection and Prevention of Malicious Activities in WSN 3

Cross Layer and Management Plane Integration Approach for De...

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3rd International conference on Electrical, Electronics, communication, Computer Technologies and Optimization Techniques (IGEECCOT)

作者： Devaraju, B. M. Raju, G. T. Visvesvaraya Technol Univ Dept Comp Sci & Engn RNSIT Belgaum India

ISBN: (纸本)9781538651308

Wireless sensor networks (WSNs) are the next generation envision and have several applications in military, infrastructure monitoring, healthcare, environment monitoring, manufacturing and Internet of Things (IoT) applications. WSN is basically a collection of sensor nodes that are deployed without infrastructure deployed anywhere, anytime, without administrator and every node works as host and router. sensor nodes are more susceptible to failure because they are deployed in open areas, may be tampered by intruders. Malicious attacks like, Denial of Service (DoS), Sybil attack, Blackhole/Sinkhole attack, Hello Flood attack, Wormhole attacks may modify sensitive information results in performance degradation. The next emerging technology is WSN with IoT, wherein billions of devices are connected with internet and every day millions of new hackers and malicious activities are identified. Hence it has become essential to propose different approaches and different measurements to identify malicious activities and to avoid them is big challenge in WSN. Several researchers have proposed cross layer design to improve QoS by reducing latency and computation overhead. But these proposed ideas have not been standardized in global level networking. So there is a need for designing security models for various devices and conform National Information Security Framework (NISF) policies. One way to detect and identify malicious activities is through analyzing nodes activities pattern in the network. This paper proposes a cross layer and management plane integration approach for detection and prevention of malicious activities in Wireless sensor networks

关键词： WSN sensor Malicious activities QoS Attacks

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MIMO Over-the-Air Computation: Beamforming Optimization on the Grassmann Manifold

MIMO Over-the-Air Computation: Beamforming Optimization on t...

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IEEE Global conference on communications (GLOBECOM) / Workshop on Wireless Networking and Control for UAV

作者： Zhu, Guangxu Chen, Li Huang, Kaibin Univ Hong Kong Dept EEE Hong Kong Peoples R China Univ Sci & Technol China Dept EEIS Hefei Anhui Peoples R China

ISBN: (纸本)9781538647271

To support future IoT networks with dense sensor connectivity, a technique called over-the-air computation (AirComp) was recently developed to enable a data-fusion center to receive a desired function (e.g., mean value) of sensing data from concurrent sensor transmissions. This is made possible by exploiting the superposition property of a multi-access channel. This work aims at further developing AirComp for next-generation multi-antenna multi-modal sensor networks where a multi-modal sensor monitors multiple environmental parameters such as temperature, pollution and humidity. To be specific, we design beamforming techniques for AirComp of multiple functions, each corresponding to a particular sensing-data type. Given the objective of minimizing sum mean-squared error of computed functions, the optimization of receive beamforming for multi-function AirComp is a NP-hard problem. The approximate problem based on tightening transmission-power constraints, however, is shown to be solvable using differential geometry. The solution is proved to be the weighted centroid of points on a Grassmann manifold, where each point represents the subspace spanned by the channel matrix of a sensor. Simulation results demonstrate the effectiveness of the proposed solution.

关键词： Array signal processing MIMO communication Multimodal sensors Manifolds Optimization Temperature measurement

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Energy-Efficient IoT for 5G: A Framework for Adaptive Power and Rate Control 12

Energy-Efficient IoT for 5G: A Framework for Adaptive Power ...

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12th International conference on Signal Processing and communication Systems (ICSPCS)

作者： Al Homssi, Bassel Al-Hourani, Akram Chavez, Karina Gomez Chandrasekharan, Sathyanarayanan Kandeepan, Sithamparanathan RMIT Univ Sch Engn Melbourne Vic Australia

ISBN: (纸本)9781538656020

In the near future, a vast number of IoT devices are expected to join the Internet. Many of these devices are powered by battery as their sole energy source, where energy-efficiency is of utmost importance to prolong the lifespan of these devices over next generation networks. This paper proposes an energy-efficient framework for adaptively controlling the transmit power and data rate of the IoT device in order to minimize the energy-consumption in 5G networks. Many of the envisioned IoT applications are latency insensitive such as utility metering, environmental monitoring, and logistic tracking. We prove that by using a simple retransmission scheme we can significantly enhance the energy-efficiency while preserving the rate of successful message delivery. The framework is tested using real measurements of LoRa technology and compared against other legacy modulation schemes currently implemented in IoT systems. Results show that significant energy saving can be achieved by applying this proposed framework.

关键词： Internet of things energy-efficiency Wireless sensor networks Retransmission adaptive control LoRa LoRaWAN SigFox 5G

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5g Technology Evolution

5g Technology Evolution

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International conference on Information Science and communications Technologies (ICISCT)

作者： Usmonov Botir Shukurillaevich Radjabov Ozod Sattorivich Rustamov Umedjon Amrillojonovich Deputy Minister of Economy and Industry of the Republic of Uzbekistan Tashkent Uzbekistan Muhammad al-Khorammiy Tashkent University of Information Technologies Head of Research Institute Tashkent Uzbekistan Muhammad al-Khorammiy Tashkent University of Information Technologies Student Tashkent Uzbekistan

ISBN: (数字)9781728125640

ISBN: (纸本)9781728125657

In this paper, an attempt has been made to review various existing generations of mobile wireless technology in terms of their portals, performance, advantages and disadvantages. The paper throws light on the evolution and development of various generations of mobile wireless technology along with their significance and advantages of one over the other. In the past few decades, mobile wireless technologies have experience 4 or 5 generations of technology revolution and evolution, namely from 1G to 4G. Current research in mobile wireless technology concentrates on advance implementation of 4G technology and 5G technology. Currently 5G term is not officially used. In 5G research is being made on development of World-Wide Wireless Web (WWWW), Dynamic Adhoc Wireless networks (DAWN) and Real Wireless World. In this paper we propose novel network architecture for next generation 5G mobile networks.. In the proposed architecture the mobile terminal has the possibility to change the Radio Access Technology - RAT based on certain user criteria.

关键词： 5G mobile communication Wireless communication IP networks Internet Wireless sensor networks 3G mobile communication Sockets

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A Fingerprint Localization Method Based on Weighted KNN Algorithm 18

A Fingerprint Localization Method Based on Weighted KNN Algo...

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18th IEEE International conference on communication Technology (IEEE ICCT)

作者： Cheng, Long Li, Yizhe Zhang, Min Wang, Chuchu Northeastern Univ Qinhuangdao Qinhuangdao Peoples R China

ISBN: (纸本)9781538676356

Wireless sensor Network (WSN) is an emerging next-generation sensor network that has a wide range of application prospects. The localization technology is one of the most important key technologies for WSN. However, in a complex indoor environment, fluctuations in received signal strength can seriously degrade positioning accuracy. In this paper, we propose a fingerprint localization method based on received signal strength (RSS) distance and improved weighted k-Nearest Neighbor (KNN) algorithm. The fingerprint database is established in the off-line phase. The real-time RSS values of the on-line measurement points are measured, and the two-stage RSS distance is calculated using the Euclidean distance. Finally, in order to solve the problem of non-Gaussian distribution of measurement noise, we use an improved weighted KNN algorithm to calculate the final position coordinates of the measurement point. Simulation results show that this method can reduce the influence of signal strength fluctuations and improve the positioning accuracy.

关键词： wireless sensor networks fingerprint positioning RSS distance improved weighted KNN

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Adaptive Anonymous Authentication for Wearable sensors in Wireless Body Area networks 14

Adaptive Anonymous Authentication for Wearable Sensors in Wi...

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14th International Wireless communications and Mobile Computing conference, IWCMC 2018

作者： Arfaoui, Amel Letaifa, Asma Ben Kribeche, Ali Senouci, Sidi Mohammed Hamdi, Mohamed Digital Security Unit SupCom University of Carthage Tunisia DRIVE EA1859 Univ. Bourgogne Franche Comté France MEDIATRON Lab. Sup'Com University of Carthage Tunis Tunisia

ISBN: (纸本)9781538620700

Wireless body area networks (WBANs) are perceived as an emerging key technology for the next generation ubiquitous healthcare systems. However, the openness and mobility of wireless sensor technologies make the sensor-controller communication vulnerable to be eavesdropped and linked to the sensors in transmission of patient's information. Furthermore, in such resource-constrained environment, authenticating sensor nodes anonymously with the controller node while considering their limited capabilities is a paramount security requirement. In this paper, we propose a lightweight and adaptive anonymous authentication and key agreement scheme for the two-tier WBAN. The proposed protocol enables an anonymous mutual authentication and a session key establishment between the controller node and the body sensor nodes while taking into account the dynamic context changes. From a security perspective, we demonstrate that the proposed key agreement scheme achieves the desired security properties such as anonymity, unlinkability, perfect forward secrecy, etc. Performance analysis proves that the proposed protocol outperforms benchmark schemes in terms of communication and computational overhead. © 2018 IEEE.

关键词： sensor nodes

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Higher Order Computational Electromagnetics, Uncertainty Quantification, and Meshing Techniques with Applications in Wireless communication, Medicine, and Meteorology

Higher Order Computational Electromagnetics, Uncertainty Qua...

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International conference on Telecommunications in Modern Satellite, Cable and Broadcasting Service (TELSIKS)

作者： Branislav M. Notaroš Department of Electrical and Computer Engineering Colorado State University Fort Collins CO USA

ISBN: (数字)9781728108780

ISBN: (纸本)9781728108797

We present some advances in several major components of computational electromagnetics (CEM), including (1) higher order method of moments, finite element method, ray-tracing, and hybrid techniques, (2) uncertainty quantification techniques for CEM modeling of RF and microwave devices and systems featuring a posteriori error estimation, sensitivity analysis, and intelligent model refinement based on adjoint methods, and (3) automatic surface meshing in CEM by the discrete surface Ricci flow method enabling generation of high quality meshes and adaptive iterative mesh refinement. We also show how these methodologies and techniques can be effectively applied to solving general real-world problems with impacts on wireless communication, medicine, and meteorology. The applications include (A) smart underground mining with an integrated wireless cyber-physical framework using CEM modeling and measurements of wireless propagation in underground mines, (B) design of RF coils for next-generation high and ultra-high field magnetic resonance imaging (MRI) scanners based on CEM and MRI experiments, and (C) accurate characterization of winter precipitation using multi-angle snowflake camera, visual hull image processing, advanced scattering methods, and polarimetric radar.

关键词： Finite element analysis Wireless communication Computational modeling Adaptation models Radio frequency Wireless sensor networks Computational electromagnetics

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Convergence of Bidirectional PON with Single-Sink Wireless sensor Network Using Queue Theory

Convergence of Bidirectional PON with Single-Sink Wireless S...

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2nd International conference on Recent Advancement in Computer, communication and Computational Sciences (RACCCS)

作者： Kumar, Love Singh, Amarpal Sharma, Vishal IK Gujral Punjab Tech Univ Kapurthala Punjab India Khalsa Coll Engn & Technol Amritsar Punjab India Shaheed Bhagat Singh State Tech Campus Ferozepur Punjab India

ISBN: (纸本)9789811073861;9789811073854

Nowadays, wireless sensor networks (WSNs) have deployed for variety of applications, such as health monitoring, military, civil, environmental monitoring, video surveillance. The limited energy of sensor nodes restricts the broadcasting range. As limited energy restricts the transmission link of such network, the need to backhaul the sensed data arises to receive sensed data at distant location. Passive Optical Network (PON), a next-generation access technology, comes up as an appropriate contender to converge the WSNs to the core system. In this paper, the investigations are reported for convergence of single-OLT PON and single-sink WSN model incorporating M/M/1 queue theory. Further, the converged WSN-PON structure extended to bidirectional link, evaluated analytically and through computer simulation in terms of queue length, end-to-end delay, packet generation rate and time cycle. The outcomes reveal the achievability of converged network, the resource allocation, and resource utilization.

关键词： Queue theory Convergence WSN-PON Queue length Delay

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