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检索条件"任意字段=2nd International Conference on Sensor Networks and Signal Processing, SNSP 2019"

共 454 条记录，以下是31-40 订阅

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Performance Measurement Using Different Shortest Path Techniques in Wireless sensor Network 2

Performance Measurement Using Different Shortest Path Techni...

引用

2nd international conference on signal processing and Communication, ICSPC 2019

作者： Sharma, Nikhil Kaushik, Ila Singh, Nanhay Kumar, Ravinder HMR Institute of Technology Management Department of Computer Science and Engineering Delhi India Krishna Institute of Engineering Technology Department of Information Technology Ghaziabad India Ambedkar Institute of Advanced Communication Technologies Research Department of Computer Science and Engineering Delhi India

ISBN: (纸本)9781728118499

Computers are being essential part of our daily lives. Different solutions came into existence for exchanging information. One of the suited networks based on wireless standard is wireless sensor networks (WSN). These networks comprise of nodes which are randomly distributed in any environment. They operate over radio frequency and possess a number of characteristics features. Some of the constraints include energy management, deployment and security. As energy is the main key constraint, shortest path algorithms aim at consumption of minimum amount of energy. In this paper, we measure performance of different shortest path algorithms such as Dijkstra's, Bellman Ford, Distance vector, Random node selection etc. Formulation of results has been carried out over MATLAB. © 2019 IEEE.

关键词： sensor nodes

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Analysis of Routing Protocol for Low Power and Lossy networks (RPL) Using Cooja Simulator 2

Analysis of Routing Protocol for Low Power and Lossy Network...

引用

2nd IEEE international conference on Wireless Communications, signal processing and Networking (WiSPNET)

作者： Jadhao, Ashish R. Solapure, Sharwari S. Walchand Coll Engn Dept Comp Sci & Engn Sangli 416415 India

ISBN: (纸本)9781509044429

Recently, Low Power and Lossy networks (LLNs) have become a subject of interest for different real time applications. It has become one of the most interesting research areas. These networks are often optimized to save energy and better utilization of limited resources available. Energy conservation while maintaining the performance of network is a major concern in such network. Internet Engineering Task Force (IETF) RoLL has developed a routing protocol for sensors networks, RPL (Routing Protocol For Low Power and Lossy networks). It's a flexible protocol which allows large scale communicating objects with limited memory, energy and power constraints in Wireless sensor networks (WSN). RPL specifications are complex and existing implementation is still under study for better performance. It is important to note that RPL works in networks with lossy links and has ability to adapt various topologies. The aim of this paper is to study the working of RPL using Cooja simulator and performance analysis using different parameters. It will help researchers to contribute more towards RPL.

关键词： Wireless sensor Network RPL IETF

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Internet of Things-A Realization 2

Internet of Things-A Realization

引用

2nd international conference on signal processing and Communication, ICSPC 2019

作者： Sebin, Sunny P. Josemin Bala, G. Karunya Institute of Technology Sciences Dept. of ECE Coimbatore Tamil Nadu India

ISBN: (纸本)9781728118499

World is transforming to its digital counterpart at a faster pace. With the advent of high speed internet, the present day world witnessed a disruptive change in the means by which data is being collected, transmitted and analyzed. This paper presents an in-depth study of the Internet of Things technology and how it is transforming the world. Also, this paper provides an overview of the functional view, different architectures, technologies, application areas and hardware design concepts of the Internet of Things. The effect of more future technologies like machine learning and artificial intelligence is also discussed here. © 2019 IEEE.

关键词： sensor networks

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SSIP 2019 - 2019 2nd international conference on sensors, signal and Image processing

SSIP 2019 - 2019 2nd International Conference on Sensors, Si...

引用

2nd international conference on sensors, signal and Image processing, SSIP 2019

ISBN: (纸本)9781450372435

The proceedings contain 19 papers. The topics discussed include: tracking human behavioral consistency by analyzing periodicity of household water consumption;RLT: a reliable, link quality and temperature-aware routing protocol for wireless body sensor networks;precautious cooperation of licensed users to improve the spectrum utilization;new concepts for motion sensors based on surface acoustic waves;indoor positioning using WiFi RSSI trilateration and INS sensor fusion system simulation;exact and asymptotic secrecy outage probability of MIMO system with hybrid diversity combining techniques;and an approach of traffic accident scene reconstruction using unmanned aerial vehicle photogrammetry.

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Reliable and Energy-Aware Routing in Wireless Multimedia sensor Network 2

Reliable and Energy-Aware Routing in Wireless Multimedia Sen...

引用

2nd IEEE international conference on Wireless Communications, signal processing and Networking (WiSPNET)

作者： Aswale, Shailendra Ghorpade, Vijay R. Shivaji Univ Kolhapur Comp Sci & Engn DYPCET Kolhapur Maharashtra India

ISBN: (纸本)9781509044429

Prominent Wireless Multimedia sensor networks (WMSNs) consist of smart sensor nodes that retrieve multimedia content, such as audio, video, and scalar sensor data from an environment. Because of their popularity, WMSNs are used in a variety of applications. In WMSNs wireless links are unreliable and prone to errors. Link quality estimation has been active area of research in sensor networks for the past few years. In WMSNs new metrics are required to measure and evaluate link quality during discovery of the routing path. Guaranteeing Quality of Service (QoS) is a challenging task due to large amount of multimedia data that needs to be processed in a resource constrained network. This paper presents energy-aware and reliable routing technique, which finds energy-aware good quality links along the path. Next forwarding node is selected based on the distance, link quality, and remaining energy. Simulation results show that proposed technique offers better Packet Delivery Ratio (PDR) and balances energy consumption of nodes to extend network lifetime.

关键词： WMSNs QoS Routing Link Quality Energy Efficiency Network Lifetime

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DACC: Dynamic Agile Congestion Control Scheme for Effective Multiple Traffic Wireless sensor networks 2

DACC: Dynamic Agile Congestion Control Scheme for Effective ...

引用

2nd IEEE international conference on Wireless Communications, signal processing and Networking (WiSPNET)

作者： Jude, M. Joseph Auxilius Diniesh, V. C. Kongu Engn Coll Dept Elect & Commun Engn Erode 638052 Tamil Nadu India

ISBN: (纸本)9781509044429

Recent years have witnessed a stunning rise in the deployment of wireless sensor motes for diverse applications due to its flexibility in sensing real-time monitoring for large scale remote applications. The many-to-one data transmission introduces network congestion/buffer overflow at the sensor gateways that cripples the overall WSN's performance in real time monitoring. In this paper, a new duty cycle based congestion aware algorithm known as Dynamic Agile Congestion Control (DACC) designed to overcome the limitations of FIFO based sensor motes at the gateways. The DACC uses two sub-algorithms one at the gateway that intelligently senses congestion during its initial stage and another at the sensor node that dynamically alters the duty cycle based on packet marking field. The DACC algorithm tested and verified under real-time wireless sensor test bed, results show that the DACC improves the stability, alerts sensor nodes, classify both preemptive and non-preemptive data and reduces congestion control front nodes to the sink node in wireless sensor network.

关键词： Wireless sensor networks (WSN) Congestion Control Resource Control Duty Cycle

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Fuzzy-Logic Based Localization for Mobile sensor networks 2

Fuzzy-Logic Based Localization for Mobile Sensor Networks

引用

2nd international conference on Communication, Computing and Digital Systems (C-CODE)

作者： Ahmad, Tanveer Li, Xue Jun Seet, Boon-Chong Auckland Univ Technol Dept Elect & Elect Engn Auckland 1010 New Zealand

ISBN: (纸本)9781538696095

Estimation of location of sensor nodes in Wireless sensor networks (WSNs) is desired in various applications and routing protocols for gathering reliable and meaningful data. This paper proposes a range-free distributed localization method based on Fuzzy Centroid approach using RSSI. We estimate distance by relating it with Received signal Strength measured during training phase in which mobile anchor nodes exchange beacons and collect distance versus RSSI data. sensor nodes to be localized (unknown nodes) will lie on a circle with anchor node location as center that gives maximum RSSI for unknown node and radius as estimated distance mapped for that RSSI. Rough estimate of location of unknown nodes is computed using Centroid method with modification that the location of reference anchor nodes will be weighted by Fuzzy Logic based objective functions. The inputs of the Fuzzy system are RSSI and signal power. Finally accurate location of unknown nodes is found as the center point of the perpendicular bisector drawn from rough estimated location to circle drawn previously. The reference anchor nodes are mobile and adopt random-walk pattern. This scheme provides reasonable accuracy as compared to some notable range-free schemes based on weighted centroid algorithms.

关键词： Fuzzy-Logic Membership function mobile anchor Localization

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Energy Efficient Wireless sensor Network Using Neural Network Based Smart Sampling and Reliable Routing Protocol 2

Energy Efficient Wireless Sensor Network Using Neural Networ...

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2nd IEEE international conference on Wireless Communications, signal processing and Networking (WiSPNET)

作者： Vinutha, C. B. Nalini, N. Veeresh, B. S. SSIT Dept ECE Tumkur Karnataka India NMIT Dept CSE Bangalore Karnataka India

ISBN: (纸本)9781509044429

The potential growth and successful convergence of different technologies like Wireless communications, micro electro Mechanical systems (MEMS) and Digital electronics have leveraged to realise the concept of sensor networks with the collaborative efforts of large number of low powered, low cost and small sized sensor nodes used for short distance, multihop communications. Efficient utilization of node's battery energy to improve the network lifetime is the fundamental challenge in Wireless sensor Network (WSN) [5]. The periodic control signal overheads exchanged between the base station & the sensor nodes add substantial amount of burden in energy expenditure. The other major energy issues lies in packet losses and the subsequent retransmissions, while minimizing the control signal overhead charges. To mitigate this problem, we propose the combined design of non uniform sampling and reliable routing for efficient energy saving and fast data communication in the system while minimizing control signal overhead charges. Our work enhances the reliability in packet transmission by predicting energy robust and near-by nodes in the data forwarding path towards the destination, using back propagation neural network algorithm. We have demonstrated through simulation results the improvement in battery energy consumption without trading off with the speed of data communication which is achieved at the cost of minimal overhead charges.

关键词： Wireless sensor networks Smart sampling Neural networks Energy efficient Reliable routing

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Target Speech signal Enhancement Based on Deep Neural networks 2

Target Speech Signal Enhancement Based on Deep Neural Networ...

引用

2nd IEEE international conference on Information Communication and signal processing (ICICSP)

作者： Zhang, Xin Wang, MingJiang Xuan, XiaoGuang Sun, FengJiao Harbin Inst Technol Elect & Informat Engn Coll Shenzhen Peoples R China

ISBN: (纸本)9781728151021

This paper presents a speech enhancement system based on deep neural network (DNN) and covers the signal processing methods used in speech enhancement and the fundamentals of DNN. DNNs containing multiple hidden layers have the capability to suppress noise by learning the relationship between noisy speech and target clean speech. A series of experiments were carried out using the Chinese corpus to evaluate the performance of the speech enhancement model. Meanwhile, the model was identified as a result of a good generalization capability in mismatched noise types. In addition, the model is compared with OMLSA in terms of the quality of speech signals.

关键词： target speech signal enhancement speech signal processing deep neural networks

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Intelligent Plant Disease Detection System Using Wireless Multimedia sensor networks 2

Intelligent Plant Disease Detection System Using Wireless Mu...

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2nd IEEE international conference on Wireless Communications, signal processing and Networking (WiSPNET)

作者： Indumathi, K. Hemalatha, R. Nandhini, S. Aasha Radha, S. SSN Coll Engn Dept ECE Kalavakkam India

ISBN: (纸本)9781509044429

Wireless multimedia sensor networks (WMSNs) attracts significant attention in the field of agriculture where disease detection plays an important role. To improve the cultivation yield of plants it is necessary to detect the onset of diseases in plants and provide advice to farmers who will act based on the received suggestion. Due to the limitations of WMSN, it is necessary to design a simple system which can provide higher accuracy with less complexity. In this paper a novel disease detection system (DDS) is proposed to detect and classify the diseases in leaves. Statistical based thresholding strategy is proposed for segmentation which is less complex compared to k-means clustering method. The features extracted from the segmented image will be transmitted through sensor nodes to the monitoring site where the analysis and classification is done using Support Vector Machine classifier. The performance of the proposed DDS has been evaluated in terms of accuracy and is compared with the existing k-means clustering technique. The results show that the proposed method provides an overall accuracy of around 98%. The transmission energy is also analyzed in real time using TelosB nodes.

关键词： Wireless multimedia sensor networks disease detection SVM threshold strategy agriculture

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