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t-path Based Reliable and Real-time Routing in Battery-Free Wireless sensor Network 23

t-path Based Reliable and Real-time Routing in Battery-Free ...

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23rd ieee international conference on High Performance computing and Communications, 7th ieee international conference on Data Science and systems, 19th ieee international conference on Smart City and 7th ieee international conference on Dependability in sensor, Cloud and Big Data systems and Applications, HPCC-DSS-SmartCity-DependSys 2021

作者： Chen, Kunyi Gao, Hong Cheng, Siyao Chen, Quan Li, Jianzhong Harbin Institute of Technology China Guangdong University of Technology China

ISBN: (纸本)9781665494571

Wireless sensor Networks are deployed to sense data from the physical world and transmit these data to the server(s). To reduce the maintenance cost of replacing batteries, Energy-Harvesting nodes are developed which can get recharged from Solar Power, Radio Frequency, and other environmental energy resources. We term the network consist of energy-harvesting nodes as Battery-Free WSNs (BF-WSNs). Environmental energy is inherently time-varying and exhibits a high degree of heterogeneity. these features bring challenges to routing design. In this paper, we focus on the reliability and real-time issues and propose an opportunistic strategy as time synchronization is hard and expensive to reach in BF-WSN. We first model BF-WSNs as a directed weighted multigraph and propose a novel definition called t-path to describe the time-varying availability feature of BF-nodes. Further, we show that the problem is NP-Hard. We present a centralized approximate algorithm and prove that the ratio bound is 2 under two conditions. this paper also presents a distributed algorithm. Comprehensive simulations have been performed to evaluate the performance of the proposed algorithms and the results show that the efficiency of our algorithms. © 2021 ieee.

关键词： Wireless sensor networks Simulation Reliability theory Approximation algorithms Routing Reliability engineering Real-time systems

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Optimal Trajectory Planning and Task Assignment for UAV-assisted Fog computing 24

Optimal Trajectory Planning and Task Assignment for UAV-assi...

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24th ieee international conference on High Performance computing and Communications, 8th ieee international conference on Data Science and systems, 20th ieee international conference on Smart City and 8th ieee international conference on Dependability in sensor, Cloud and Big Data systems and Application, HPCC/DSS/SmartCity/DependSys 2022

作者： Liu, Shuaijun Yin, Jiaying Zeng, Zishu Wu, Jingjin BNU-HKBU United International College Department of Statistics and Data Science Zhuhai519087 China The University of Hong Kong Li Ka Shing Faculty of Medicine Pokfulam Hong Kong School of Engineering The Hong Kong University of Science and Technology Kowloon Hong Kong Guangdong Provincial Key Laboratory of Interdisciplinary Research and Application for Data Science China

ISBN: (纸本)9798350319934

Fog computing is an emerging distributed computing model for the realization of the Internet of things (IoT). It extends computing and caching functions to the edge of wireless networks. Unmanned Aerial Vehicles (UAVs) provide effective support for fog computing, as UAVs can not only act as a relay between mobile users and physically remote edge devices to avoid costly long-range wireless communications, but also are equipped with computing facilities that can take over certain tasks. In this paper, we aim to optimize the energy efficiency of a fog computing system assisted by a single UAV, by planning the trajectories of the UAV and assigning computing tasks to different devices including the UAV itself. We propose two algorithms based on the classical Ant Colony and Particle Swarm Optimization techniques, and solve the problem by continuous convex approximation. Different from most existing studies where the trajectories are assumed to be straight lines, we account for the effect of obstacles, such as buildings, and deliberately avoid them during the trajectory planning phase. We demonstrate, through extensive simulation experiments, that our proposed approach can achieve significantly better energy efficiency compared to existing benchmark algorithms. © 2022 ieee.

关键词： Fog computing

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Augmenting Transparency and Reliability for National Health Insurance Scheme with distributed Ledger 4

Augmenting Transparency and Reliability for National Health ...

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4th international conference on Electronics and Sustainable Communication systems, ICESC 2023

作者： Sharma, Ishu Kaushik, Keshav Chhabra, Gunjan Chitkara University Institute of Engineering and Technology Chitkara University Punjab India University of Petroleum and Energy Studies School of Computer Science Dehradun India Graphic Era Hill University Department of Computer Science and Engineering Dehradun India

ISBN: (纸本)9798350300093

Ayushman Bharat-Pradhan Mantri Jan Arogya Yojana is a chance to improve the health of hundreds of millions of Indians and get rid of or lessen medical poverty in the nation. Many individuals are excluded from the plan because of dishonest actions taken by the administrators or the recipients. In this research article, a blockchain-based solution for implementing a national health insurance scheme is proposed to improve the transparency and reliability of the Ayushman Bharat healthcare program. To publish to the blockchain or distributed ledger, the Aadhar database is synchronized with the Ayushman Bharat database. At numerous points, including registration, pre-authorization at hospitals, claim reimbursement, and uploading the patient's medical bills on the blockchain ledger, this database is used for user eligibility and verification. the implication of NFC, IPFS and distributed ledger enhances the data privacy and security in the process, which can maintain the versions of the transactions. the proposed methodology covers all the aspects of the national health insurance scheme and hence the existing procedure can be shifted without any alterations in the rules of the health insurance system. © 2023 ieee.

关键词： Smart contract

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Congestion Control Algorithm for Wireless sensor Network by Priority Based Data Routing Strategy in Health Care Applications 4

Congestion Control Algorithm for Wireless Sensor Network by ...

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4th ieee Annual Flagship India Council international Subsections conference, INDISCON 2023

作者： Kamal, Neel Chaudhary, Bulbul School of Engineering & Technology Iimt University Department of Electrical & Electronics Engineering Uttar Pradesh Meerut India Isdi - School of Design & Innovation Atlas Skill Tech University Maharashtra Mumbai India

ISBN: (纸本)9798350333558

the priority based data routing strategy has become increasingly important for health care applications, as it allows for real-time transmission of critical data and timely delivery of medical services. this strategy relies on prioritizing health care data based on its importance, allowing for an intelligent and efficient delivery of information. these priorities assist in speeding up the delivery of medical decisions, allowing medical staff to respond more rapidly to any medical emergency. Moreover, it can also provide an increased level of security, helping to protect essential data related to patient care. By efficiently routing the right information to the right hospital or doctor, using the priority based data routing strategy, health care professionals can ensure improved patient safety and better decision making. © 2023 ieee.

关键词： Decision making

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Hypergraphic Partitioning of Quantum Circuits for distributed Quantum computing 4

Hypergraphic Partitioning of Quantum Circuits for Distribute...

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4th ieee international conference on Quantum computing and Engineering, QCE 2023

作者： Cambiucci, Waldemir Silveira, Regina Melo Ruggiero, Wilson Vicente Escola Politécnica University of Sao Paulo São Paulo Brazil

ISBN: (纸本)9798350343236

When dealing with NISQ computers (Noise Intermediate Scale Quantum), it is widely accepted that distributing circuits among processing agents is an effective way to increase scalability with small machines. this approach can improve overall computational power, but it requires using qubits for communication between partitions, dedicated for the teleportation protocol over time. the main challenge is to minimize this communication cost by using efficient circuit partitioning strategies. there are many different partitioning approaches in the literature, but a consensus is needed on the best method for distribution scenarios. Here, we explore the partitioning process of quantum circuits using a hypergraphic representation for the circuit, to run this task. First, explore and compare different approaches of hypergraphic partitioning. then, we created a variation of the Fiduccia-Mattheyses heuristic to minimize the communication qubits between partitions. thanks to our tunning and an applied approach, we reduced the cost of partitioning circuits of 10% to 50% with respect to the different algorithms from state of art. Our method involves three steps: logical segmentation and grouping of gates;translation of the circuit into a hypergraphic representation;and use of the Fiduccia-Mattheyses heuristic variation for hypergraphic partitioning. this research explores quantum circuits partitioning for different scenarios as multi-QPU and distributed machine over classical communication, consolidating important results for quantum development in distributed scenarios, for a set of benchmark algorithms. © 2023 ieee.

关键词： Timing circuits

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Evaluation of Network Lifetime by Multipath Routing Protocol for WSN 4

Evaluation of Network Lifetime by Multipath Routing Protocol...

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4th ieee Annual Flagship India Council international Subsections conference, INDISCON 2023

作者： Kumar Singh, Sandeep Asbe, Chetana School of Commerce & Management Iimt University Uttar Pradesh Meerut India Isme - School of Management & Entrepreneurship Atlas Skill Tech University Maharashtra Mumbai India

ISBN: (纸本)9798350333558

Network lifetime is the amount of time a wireless network remains operational before it must be repaired or replaced. Extended network lifetime is a major challenge in wireless sensor networks (WSNs). To extend the lifetime of a wireless sensor network, multipath routing protocols have been proposed and implemented. these protocols employ multiple paths for data transmission, in order to enhance the network throughput, reduce packet loss and extend network lifetime. In this paper, we evaluate the impact of multipath routing protocols on the overall network lifetime. We consider three different multipath routing protocols: Geographic location based routing, Deluge and thor. We conduct extensive simulations to compare the performance of these protocols in terms of network lifetime. Simulation results show that Geographic location based routing, Deluge and thor all extend the network lifetime compared to a single path routing. However, thor can significantly enhance the network lifetime in all scenarios. We also analyze the energy consumption, packet loss and throughput of each protocol and demonstrate that multipath routing is an effective technique to enhance the network lifetime while still providing good performance. © 2023 ieee.

关键词： Wireless sensor networks

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Multi-objective and Randomly distributed Fuzzy Logic-Based Unequal Clustering in Heterogeneous Wireless sensor Networks 16th

Multi-objective and Randomly Distributed Fuzzy Logic-Based U...

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16th international conference on Computational Collective Intelligence (ICCCI)

作者： Adnan, Mohd Ahmad, Tazeem Rafi, Saima Abdullah Vurity, Anudeep Inha Univ Incheon South Korea Univ Southern Queensland Brisbane Qld Australia Edinburgh Napier Univ Edinburgh Midlothian Scotland Univ Teknol Petronas Seri Iskandar Perak Malaysia George Mason Univ Fairfax VA 22030 USA

ISBN: (纸本)9783031708152;9783031708169

Wireless sensor Networks (WSNs) are a crucial component in the fabric of the Internet of things (IoT) ecosystem, enabling a myriad of applications ranging from environmental monitoring to precision agriculture and smart cities. However, these sensors are constrained in terms of energy, computing power, and storage which makes reliable communication a critical research challenge. To address these challenges, unequal clustering has emerged as a promising solution where clusters are intentionally formed with varying sizes to accommodate heterogeneous capabilities and energy demands across the network. In this paper, we introduce a novel Multi-Objective and Randomly distributed Fuzzy Logic-based Unequal Clustering (MORF-UC) scheme to address the challenge of energy management and hotspot issues in WSNs. By leveraging fuzzy logic to account for variables such as distance to the base station (BS), residual energy, node concentration, and data forwarding ratio of nodes, this scheme aims to extend network lifetime, energy use, and data transmission reliability while mitigating the hot spot issues. Simulation results demonstrate that the proposed methodology outperforms existing methods such as TTDFP and MOUOC in the energy conservation, network lifetime extension, and throughput enhancement, thereby offering a significant advancement in the field of WSN optimization.

关键词： Wireless sensor networks Unequal clustering Fuzzy logic Network lifetime Multi-objective Network scalability

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Maintenance of Complex Network Management by Software Defined Routing Protocol for WSN 4

Maintenance of Complex Network Management by Software Define...

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4th ieee Annual Flagship India Council international Subsections conference, INDISCON 2023

作者： Kumar, Sandeep Desai, Meena School of Basic Science and Technology Iimt University Uttar Pradesh Meerut India Isme - School of Management & Entrepreneurship Atlas Skill Tech University Maharashtra Mumbai India

ISBN: (纸本)9798350333558

Software Defined Routing Protocols (SDRP) are becoming increasingly important for the reliable and efficient operation of Wireless sensor Networks (WSNs). SDRP makes use of improved technologies and techniques to provide rigorous, more intuitive, and more dynamic network management of WSNs. In particular, SDRP utilizes a combination of both proven network routing algorithms and new algorithms that optimize routing capacity to meet the rapidly changing requirements of networks deployed over large areas. As a result of its wide area coverage, SDRP is able to scale for small and large networks, providing both robust and efficient control of WSNs. It is also capable of self-organizing complex network topologies and minimizing communication cost. At the same time, SDRP provides an effective platform for the integration of different protocols, such as those for the mobile, multimedia, security, and quality of service. Furthermore, it is flexible enough to accommodate various types of application requirements. As such, SDRP can help to enhance quality of service and reduce total cost of ownership. © 2023 ieee.

关键词： Wireless sensor networks

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BYEE: Batch Fully Private Scheme for Coded distributed Matrix Multiplication 24

BYEE: Batch Fully Private Scheme for Coded Distributed Matri...

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作者： Li, Guojing Wang, Jin Zou, Xiaotian Li, Lingzhi Gu, Fei School of Computer Science and Technology Soochow University Suzhou215006 China Collaborative Innovation Center of Novel Software Technology and Industrialization China

ISBN: (纸本)9798350319934

Recently, user privacy in distributed computing has received increasing attention. Matrix multiplication is one of the fundamental high-frequency operations in distributed machine learning (e.g., gradient descent, linear regression). this paper studies the batch Fully Private distributed Matrix Multiplication (FPMM) problem. In batch FPMM, the user aims to compute multiple desired matrix multiplications from two public libraries which are stored across all workers. Batch FPMM requires that colluding workers cannot obtain the indexes of all desired ma-trices in the two public libraries (i.e., privacy constraint). In this paper, we first propose the Bath fullY privatE schemE (BYEE) to encode multiple desired matrix multiplications together based on the construction of bilinear complexity. We then perform a solid theoretical analysis to prove the privacy and decodability of BYEE. Multi-aspect analysis and extensive simulation results illustrate that BYEE can significantly reduce the computation latency than state-of-the-art schemes that do not jointly encode multiple desired matrix multiplications, especially when the number of desired matrix multiplications and the number of colluding workers are large. © 2022 ieee.

关键词： Libraries

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Identity Authentication System Network for Internet of things and Blockchain-enabled Trading Platforms in Renewable Energy Generating Units 4

Identity Authentication System Network for Internet of Thing...

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4th international conference on Evolutionary computing and Mobile Sustainable Networks, ICECMSN 2024

作者： Bhattacharjee, Partha Pratim Koley, Chaitali Chatterjee, Saibal National Institute of Technology Mizoram India

this article presents a Blockchain-based spotless, efficient clean, and green energy trading platform for environmentally friendly energy-generating units. A system that provides a constant information-obtaining framework for exchanging information and surveillance of these renewal energy-generating units and the energy uses of these units, the health of units, and performance. It typically works in a troublesome climate, and its security has forever been challenging. Node identification proof and authentication is a significant security worry for distributed IoT frameworks;blockchain technology with decentralization highlights another era of arrangements. Data/ Information is gathered and pre-processed utilizing the "Raspberry Pi"microcontroller Board linked alongside field sensors framing an "Edge Node (EN)", which comprises an inbuilt Wi-Fi unit, a generated terminal voltage sensor, generated as well as load current sensors, an external real-time clock circuit, and other environmental surveillance sensor units for fundamental support of the generating unit. these IoT-based "Wireless sensor Network (WSN)"nodes are separated into "Edge Node (EN)", "Fog Node (FN)", and "Cloudlet Server (CS)", as indicated by their capacities and work conveyances which are framed into various leveled network. In this model, nodes' identity and mutual authentication across multiple communication scenarios are realized through, a private Blockchain developed among the terminal nodes, an EN, forming a complete Blockchain-based wireless sensor network (BWSN). © 2025 the Authors. Published by Elsevier B.V.

关键词： sensor nodes

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