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Enhancement of Network Lifetime in Wireless sensor Networks Using Modified Cluster Head Selection Algorithm 9

Enhancement of Network Lifetime in Wireless Sensor Networks ...

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9th international conference on Advanced computing and Communication systems, ICACCS 2023

作者： Satyanarayana, P. Guptha Maremalla, Gokul Sriram Phanindra, G. Devi, A.Ch.R.R. Anantha Rajya Lakshmi, K. Sriramam, Yadavalli S S V. R. Siddhartha Engineering College Department of ECE Vijayawada India S.R.K.R. Engineering College Department of ECE A.P Bhimavaram India

ISBN: (纸本)9798350397376

A significant number of sensor nodes that have been distributed around the monitoring area make up the wireless sensor network (WSN), which is a smart an autonomous *** creating a wireless sensor network, one of the most challenging aspects is working out how to maintain a consistent energy usage amount while simultaneously extending the life of the network, presuming the nodes in the network can only be powered by batteries in the majority of scenarios. With the objective of lowering the network's overall energy consumption and improving its lifespan, we suggest an augmentation technique. Enhancing the energy distribution in groups across all the sensor nodes has been carried out with the goal of lowering the amount of energy lost during network connections. A cluster head selection technique serves as the basis for the newly developed and enhanced methodology. Additionally, a modified version of the TDMA schedule has been implemented. By using mathematical analysis and the outcomes of a MATLAB 2015a simulation, the feasibility of the proposed technique was demonstrated. © 2023 ieee.

关键词： Energy efficiency

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SMVAR: A Novel RNN Accelerator Based on Non-blocking Data Distribution Structure 25

SMVAR: A Novel RNN Accelerator Based on Non-blocking Data Di...

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25th ieee international conferences on High Performance computing and Communications, 9th international conference on Data Science and systems, 21st ieee international conference on Smart City and 9th ieee international conference on Dependability in sensor, Cloud and Big Data systems and Applications, HPCC/DSS/SmartCity/DependSys 2023

作者： Xu, Jinwei Jiang, Jingfei Xu, Shiyao Gao, Lei National University of Defense Technology Science and Technology on Parallel and Distributed Laboratory Hunan Changsha China

ISBN: (纸本)9798350330014

Recurrent neural networks (RNNs) have become common models in the field of artificial intelligence to process temporal sequence task, such as speech recognition, text analysis, natural language processing, etc. To speedup RNNs inference, previous research proposed model sparse pruning techniques. However, the pruning rate of existing sparse pruning algorithms will be affected by pruning granularity and hardware friendliness. In order to approximate nonstructured pruning algorithm, this paper proposes Large Region Balanced Sparse (LRBS) pruning method, which does not limit sub-matrix shape and effectively improves pruning rate. Furthermore, we propose Sparse Matrix Vector Multiplication Accelerator for RNNs (SMVAR), which adopt non-blocking data distribution structure to solve the problem of efficient execution of large region irreg-ular matrix multiplication. To further improve the accelerator performance, SMVAR fine-grained adjusts the pipeline between macro-operations to reduce the idle of compute components. In addition, according to the coarse-grained block characteristics of LRBS algorithm, we develop the coarse-grained parallelism of accelerator with multiply compute units(CUs) structure. Experiments show that the pruning rate of our proposed LRBS is 1.25x-2.5x higher than that of the existing pruning algorithms. Compared with the existing work, the execution efficiency is improved by more than 2.02x-35.9x in the same application scenario. © 2023 ieee.

关键词： Field programmable gate arrays (FPGA)

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Certain Investigation of Optimization Methods of sensor Nodes in Biomedical Recording systems 9

Certain Investigation of Optimization Methods of Sensor Node...

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9th international conference on Advanced computing and Communication systems, ICACCS 2023

作者： Ashokkumar, N. Pappa, C. Kanmani Siva Kumar, A. Srinivasan, Dhamodharan Vijay, M.M. Mohan Babu University Department of ECE Tirupati India Vel Tech Rangarajan Dr.Sagunthala R&D Institute of Science and Technology Department of ECE Tamilnadu Chennai India SRM Institute of Science and Technology Department of Data Science and Business Systems Chennai India Sri Eshwar College of Engineering Department of Computer and Communication Engineering Tamilnadu Coimbatore India SCAD College of Engineering and Technology Department of ECE Tirunelveli India

Biosensors will monitor a patient9;s physiological signals (ECG, EEG, etc.) and send an alarm as soon as irregularities are discovered. Downsized biomedical sensors are the focus of this article, which explores inn... 详细信息

ISBN: (纸本)9798350397376

Biosensors will monitor a patient's physiological signals (ECG, EEG, etc.) and send an alarm as soon as irregularities are discovered. Downsized biomedical sensors are the focus of this article, which explores innovative circuit approaches for miniaturised sensors. In order to demonstrate the proposed biomedical compression engine, ECG compression was applied and assessed. A MIP (mixed-integer programming model) is used to represent and solve the clustering issue based on the power consumption analysis. It follows that an architectural model that may be used to design ECG monitoring systems has been provided, as well as an in-depth study of the ECG monitoring system's value chain and a complete evaluation of relevant literature based on an expert classification. Time synchronisation and signal synthesis are the two stages of the distributed cooperative sensing algorithm's execution of ECG signal gathering. this method uses the mutation probability of each solution to prevent local convergence. © 2023 ieee.

关键词： Electrocardiograms

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Fostering Energy Transition in Smart Cities: DLTs for Peer-to-Peer Electricity Trading 17

Fostering Energy Transition in Smart Cities: DLTs for Peer-t...

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17th Annual ieee international conference on distributed computing in sensor systems (ieee dcoss)

作者： Montakhabi, Mehdi van der Graaf, Shenja Madhusudan, Akash Sarenche, Roozbeh Mustafa, Mustafa A. Vrije Univ Brussel Imec SMIT Pl Laan 9 B-1050 Brussels Belgium Univ Twente POB 217 NL-7500 AE Enschede Netherlands Univ Manchester Dept Comp Sci Manchester M13 9PL Lancs England Katholieke Univ Leuven Imec COSIC Kasteelpk Arenberg 10 Bus 2452 B-3001 Heverlee Belgium

ISBN: (纸本)9781665439299

this paper explores the applications of distributed Ledger Technologies (DLTs) in Peer-to-Peer (P2P) electricity trading. It highlights the challenges and trade-offs of applying three different DLTs: Blockchain, Directed Acyclic Graph (DAG), and Holochain. First, the study introduces the energy transition concept in the smart city context. Second, P2P electricity trading and its supporting trading mechanisms are introduced. third, DLTs are defined and three different types of DLTs are introduced. Forth, possibilities, challenges, and consequences of applying DLTs in electricity trading are explained. Last, applying DLTs for P2P electricity trading from different aspects are discussed. this paper provides a benchmark for applying DLTs to foster energy transition in smart cities. It highlights how this type of technology can serve smart circular economy.

关键词： Smart cities DLT blockchain energy transition P2P energy trading ecosystem token economy

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5G Network Requirement Analysis and Slice Dimensioning for Sustainable Vehicular Services 17

5G Network Requirement Analysis and Slice Dimensioning for S...

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17th Annual ieee international conference on distributed computing in sensor systems (ieee dcoss)

作者： Kakkavas, Grigorios Diamanti, Maria Stamou, Adamantia Karyotis, Vasileios Papavassiliou, Symeon Bouali, Faouzi Moessner, Klaus Natl Tech Univ Athens Sch Elect & Comp Engn Iroon Polytech 9 Athens 15780 Greece Univ Surrey Inst Commun Syst 5G Innovat Ctr Guildford GU2 7XH Surrey England Tech Univ Chemnitz Professorship Commun Engn Str Nationen 62 D-09111 Chemnitz Germany Coventry Univ Inst Future Transport & Cities Coventry CV1 5FB W Midlands England

ISBN: (纸本)9781665439299

the Fifth Generation (5G) mobile communications together with software defined networking (SDN) and network function virtualization (NFV) are expected to enable a wide range of vertical use-cases. Different vertical industries with diverse service streams and sets of requirements should leverage the advanced capabilities of 5G networks through a single infrastructure to support the desired Quality of Service/Experience (QoS/QoE). In this paper, we focus on the Transport vertical and we study four novel service categories, each one consisting of one or more related scenarios, within the framework of the 5G Health, Aquaculture and Transport (5G-HEART) 5G PPP Phase 3 project. the first pass analysis of the envisioned vehicular services and their underlying operation, combined with the mapping of the mostly high-level functional user requirements to quantitative network Key Performance Indicators (KPIs) via a thorough and concise methodology, is essential for future testing with real pilots. Furthermore, our work paves the way towards efficient network slicing by exploring the interrelations between the identified KPIs and the respective target values that must be simultaneously satisfied over the same physical network infrastructure, in the context of the three 5G generic services.

关键词： 5G mobile communications network requirements key performance indicators transport vertical network slicing

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False Data Injection Attacks Against High Voltage Transmission systems

False Data Injection Attacks Against High Voltage Transmissi...

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international conference on distributed computing in sensor systems (dcoss)

作者： Panagiotis Radoglou-Grammatikis Magda Zafeiropoulou Maria Atanasova Pencho Zlatev Sofia Giannakidou thomas Lagkas Vasileios Argyriou Evangelos K. Markakis Ioannis Moscholios Panagiotis Sarigiannidis Department of Electrical and Computer Engineering University of Western Macedonia Kozani Greece Innovative Energy and Information Technologies LTD (IEIT BIC-IZOT Sofia Bulgaria K3Y Ltd Sofia Bulgaria Department of Computer Science International Hellenic University Kavala Campus Greece Department of Networks and Digital Media Kingston University London Surrey UK Department of Electrical and Computer Engineering Hellenic Mediterranean University Crete Greece Department of Informatics & Telecommunications University of Peloponnese Tripolis Greece

the digitisation of the smart electrical grid provides several advantages and valuable services, such as self-monitoring, pervasive control and smart healing. However, despite the benefits of this progression, critical cybersecurity and privacy issues are raised due to the vulnerabilities of legacy Electrical Power and Energy systems (EPES) and the evolution of stealthy cyberthreats and malware. In this paper, we give emphasis to False Data Injection Attacks (FDIAs) that can affect the EPES State Estimation (SE). In particular, we investigate two FDIA categories, namely: (a) Global Positioning System (GPS) Spoofing Attacks and (b) ieee C37.118 FDIAs against an actual testbed emulating a high-voltage ieee 9-Bus transmission grid. Finally, we provide a relevant Intrusion Detection System (IDS) capable of detecting the aforementioned FDIAs. the evaluation analysis demonstrates the impact of the above FDIAs and the efficiency of the proposed IDS.

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Wireless Crowd Charging Applications: Taxonomy and Research Directions 16

Wireless Crowd Charging Applications: Taxonomy and Research ...

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16th Annual international conference on distributed computing in sensor systems (dcoss)

作者： Raptis, theofanis P. CNR Inst Informat & Telemat Pisa Italy

ISBN: (纸本)9781728143514

Wireless power transfer technologies lead the way towards new paradigms for pervasive networking and have already penetrated the mobile and portable user device research and market. their use is not only limited to charging devices like smartphones wirelessly by using a central wireless charger, but it is also extended to peer-to-peer (P2P) wireless crowd charging, when a user device shares energy directly with another user device. this paper surveys the literature over the period 2014-2020 on both P2P and central wireless crowd charging from the point of view of algorithmic applications as it applies to ubiquitously networked user devices and identifies some open research challenges for the future.

关键词： Wireless power transmission ubiquitous computing peer-to-peer computing distributed algorithms

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DPLE: A Privacy-Enhanced and Straggler-Resilient distributed Learning Framework for Smart Cloud

DPLE: A Privacy-Enhanced and Straggler-Resilient Distributed...

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ieee international conference on Smart Cloud (SmartCloud)

作者： Yilei Xue Jianhua Li Jun Wu School of Electronic Information and Electrical Engineering Shanghai Jiao Tong University Shanghai China

ISBN: (数字)9798350389500

ISBN: (纸本)9798350389517

distributed machine learning (DML) encounters issues related to privacy and the presence of straggling nodes in smart cloud systems. Lagrange coded computing offers a partial solution to mitigate these concerns. Nonetheless, the privacy of the system becomes vulnerable when the number of semi-trusted nodes surpasses a specific limit, or when external eavesdroppers are present. To confront this hurdle, we introduce a novel framework for distributed learning called DPLE (Differentially Private Lagrange Encoding). this framework employs Lagrange interpolation polynomials to obscure the original data while introducing redundancy, thus improving privacy safeguards and increasing robustness to straggling nodes. It also incorporates artificial noise into local computation outcomes to protect confidential data from potential exposures. Furthermore, we perform theoretical analyses to identify the necessary variance of this noise to maintain desired privacy levels. Experimental validations confirm the efficacy of DPLE and examine how different settings of system parameters impact the accuracies of the results.

关键词： Wireless communication Training Privacy Interpolation Wireless sensor networks Data privacy Distance learning

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Reliability Measurement Of Vehicle sensor Data Based On Historical Perception

Reliability Measurement Of Vehicle Sensor Data Based On Hist...

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ieee international conference on Data Science in Cyberspace (DSC)

作者： Chenqing Guo Jinxin Zuo Yueming Lu Weixuan Xie School of Cyberspace Security Key Lab of Trustworthy Distributed Computing and Service Ministry of Education Beijing University of Posts and Telecommunications Beijing China

ISBN: (数字)9798350391367

ISBN: (纸本)9798350391374

On-board sensors are utilized for monitoring and collecting a diverse range of data pertaining to the vehicle and its surroundings. However, in the field of Internet of Vehicles, security threats encountered by vehicle sensors often result in compromised accuracy of collected data. therefore, it is crucial to investigate trusted measurement methods for vehicle sensor data. this paper proposes a reliable measurement approach for vehicle sensor data based on historical perception. the method initially achieves historical feature extraction through time correlation of single sensor sequence data and spatial correlation of multisensor data. Subsequently, a reliability measurement method is devised to quantify real-time data reliability by assessing the deviation from the theoretical expected value. Finally, historical data reliability is integrated with real-time data reliability to enhance accuracy of the overall reliability measurement process. this approach takes into consideration spatio-temporal correlation of vehicle sensor data and resolves issues stemming from unbalanced datasets that lead to inaccurate evaluation results. Experimental findings demonstrate an accuracy rate of 98.91% for the proposed method.

关键词： Correlation Accuracy Reliability theory Feature extraction Real-time systems Spatial databases sensors Security Monitoring Internet of Vehicles

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Sharing Beyond Peer-to-peer Trading: Collaborative (Open) Business Models as a Pathway to Smart Circular Economy in Electricity Markets 16

Sharing Beyond Peer-to-peer Trading: Collaborative (Open) Bu...

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16th Annual international conference on distributed computing in sensor systems (dcoss)

作者： Montakhabi, Mehdi van der Graaf, Shenja Ballon, Pieter Mustafa, Mustafa A. Vrije Univ Brussel Imec SMIT Pl Laan 9 B-1050 Brussels Belgium Univ Manchester Dept Comp Sci Manchester M13 9PL Lancs England Katholieke Univ Leuven Imec COSIC Kasteelpk Arenberg 10Bus 2452 B-3001 Heverlee Belgium

ISBN: (纸本)9781728143514

this paper performs an analysis on emergent peerto-peer (p2p) electricity trading markets utilizing the resourcebased theory based on the sharing economy concept to identify possible opportunities for assets/data sharing amongst existing and emerging market players. First, the study introduces actors in the future electricity market and identifies their objectives. Second, valuable resources of each actor are recognized and categorized under physical and digital groups. third, interested actors in each resource and benefits they can gain by having access to the resource are discussed. Last, a matrix of sharing opportunities amongst the actors in the electricity market is built and the current state of sharing is compared with the possibilities in the future. this paper provides and serves as a benchmark for implementing the sharing economy concept in future design of electricity markets. It highlights sharing opportunities as a means for circular economy in the electricity market. Implementing the identified sharing opportunities requires more collaborative (open) business models.

关键词： Open business model sharing economy circular economy collaboration peer-to-peer smart grid business model innovation electricity market

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