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检索条件"任意字段=IEEE International Conference on Distributed Computing in Sensor Systems"

共 30781 条记录，以下是4821-4830 订阅

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DCS-MAC: A distributed Cross-Layer Communication Protocol for Directional sensor Networks 33rd

DCS-MAC: A Distributed Cross-Layer Communication Protocol fo...

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33rd international conference on Advanced Information Networking and Applications, AINA-2019

作者： Nagaraju, Shamanth Sreejith, V. Sood, Nipun Gudino, Lucy J. Kasliwal, Mehul Kejriwal, Rajas Department of Computer Science and Information Systems BITS Pilani K. K. Birla Goa Campus Zuarinagar SancoaleGoa India Department of Computer Science and Information Systems BITS Pilani Pilani India

ISBN: (纸本)9783030150310

Employing directional antenna in Wireless sensor Networks (WSNs) constitute Directional sensor Networks (DSNs) which provides potential benefits such as longer coverage range, reduced interference, diminished power requirement and spatial reusability. In this paper, we propose a distributed Cross-layer Sectored-antenna Medium Access Control (DCS-MAC) protocol. The proposed DCS-MAC employ distributed Time Division Multiple Access (TDMA) for MAC and distributed Slow-Scan Routing (DSSR) protocol for routing purpose. The DCS-MAC eliminates the need for an exclusive neighbor discovery protocol as DSSR protocol itself serves this purpose. The performance of DCS-MAC is simulated using the Cooja simulator with directional antenna support. The simulation results reveal that DCS-MAC display reduced slot allocation delay, lower communication overhead and higher packet delivery ratio. © 2020, Springer Nature Switzerland AG.

关键词： Medium access control

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Approach to Sustainable Trust and Reputation Evaluation in distributed Mobile Networks of the Internet of Things 11

Approach to Sustainable Trust and Reputation Evaluation in D...

引用

ieee 11th international conference on Dependable systems, Services and Technologies (DESSERT) - IoT, Big Data and AI for a Safe & Secure World and Industry 4.0

作者： Turkina, Victoriia Ihnatiev, Dmytro Natl Aerosp Univ Kharkiv Aviat Inst Software Engn & Business Fac Kharkiv Ukraine

ISBN: (纸本)9781728199573

This article presents a way of organizing a stable coalition that consists of the Internet of things interacting objects, taking into account their trust and reputation. The concept of convergence and interpenetrating services, networks, computing, and communications, which forming the Internet of things environment, requires solving a whole range of problems. One of the main issues is increasing the efficiency of use-limited resources (time, energy, radio frequency spectrum) by the Internet of things devices. Besides, there is a lack of guaranteeing trustworthy, user/data security and resistance against adversaries there. In this regard, trustworthiness evaluation and a coherent recommendation of estimating friend nodes' reliability will allow achieving network security and isolating malicious nodes' environment. A proposed method for measuring trust and reputation in the Internet of things defines the rules for transforming subjective trust assessments into the overall evaluation of the object interaction reputation. Simulation modeling with a real dataset confirms the effectiveness of the developed method and the possibility of reducing trust estimation uncertainty.

关键词： Internet of things trust model reputation interval estimation selective limits interacting recommendation

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Coverage Analysis of Drone-Assisted Backscatter Communication for IoT sensor Network 15

Coverage Analysis of Drone-Assisted Backscatter Communicatio...

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15th Annual international conference on distributed computing in sensor systems (DCOSS)

作者： Hayajneh, Ali Zaidi, Syed Ali Raza Hafeez, Maryam McLernon, Des Win, Moe Univ Leeds Sch Elect & Elect Engn Leeds LS2 9JT W Yorkshire England Univ Huddersfield Sch Comp & Engn Huddersfield HD1 3DH W Yorkshire England MIT Lab Informat & Decis Syst 77 Massachusetts Ave Cambridge MA 02139 USA

ISBN: (纸本)9781728105703

In this article, we develop a comprehensive framework to characterize the performance of a drone assisted backscatter communication-based Internet of Things (IoT) sensor network. We consider a scenario where the drone transmits an RF carrier that is modulated by IoT sensor node (SN) to transmit its data. The SN implements load modulation which results in amplitude shift keying (ASK) type modulation for the impinging R F carrier. In order to quantify the performance of the considered network, we characterize the coverage probability for the ground based SN node. The statistical framework developed to quantify the coverage probability explicitly accommodates a dyadic backscatter channel which experiences deeper fades than that of the one-way Rayleigh channel. Our model also incorporates Line of Sight (LoS) and Non-LoS (NLoS) propagation states for accurately modelling large-scale path- loss between drone and SN. We consider spatially distributed SNs which can be modelled using a spatial Binomial Point Process (BPP). We practically implement the proposed system using Software Defined Radio (SDR) and a custom designed SN tag. The measurements of parameters such as noise figure, tag reflection coefficient etc., are used to parametrize the developed framework. Lastly, we demonstrate that there exists an optimal set of parameters which maximizes the coverage probability for the SN.

关键词： Drone Backscatter communication Dyadic fading Stochastic geometry Binomial process Coverage probability

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Soft Network Organisation Towards Future distributed ML-based Sensing systems 28

Soft Network Organisation Towards Future Distributed ML-base...

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28th international conference on Software, Telecommunications and Computer Networks (SoftCOM)

作者： Cichon, Krzysztof Poznan Univ Technol PUT Poznan Poland

ISBN: (纸本)9789532900996

The article analyses efficient information detection by a network of sensors. It is assumed that every sensor collects local information, however, with the application of clustering in the network, it is possible to efficiently exchange knowledge within the network. In particular, the local knowledge about a licensed signal is acquired by sensors, and it is then exchanged and transferred to global knowledge. To this end, two types of clustering are analysed: hard K-means clustering and soft K-means. In the latter case, the crucial knowledge about stiffness is important to perform an efficient exchange of information. The analysis of desired stiffness values has been carried out with simulation experiments where the energy usage and reporting efficiency were compared for various sizes and types of clusters. Moreover, the quality of global knowledge is also shown in the simulation results.

关键词： Signal detection machine learning clustering network organisation

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Improving Join Reordering for Large Scale distributed computing 8

Improving Join Reordering for Large Scale Distributed Comput...

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8th ieee international conference on Big Data (Big Data)

作者： Margoor, Amogh Bhosale, Mayur Qubole Inc Santa Clara CA 95050 USA Uber Technol Inc Bangalore Karnataka India

ISBN: (纸本)9781728162515

SQL Join is one of the most commonly used operators for workloads running upon SQL Engines built for Big Data like Apache Spark SQL, Apache Hive and Presto. As Joins on Big Data can be expensive, Join optimizations can significantly improve the efficiency and performance of it's workloads. In this work, we would address the problem of finding optimal order for SQL Joins, which is a well researched NP-Hard problem for traditional workloads. Traditional Cost Based Optimization in Query processing, including Join Reordering algorithms are not effective on Big Data due to lack of statistics. Statistics are mostly absent in Big Data as they are expensive to compute and needs frequent recompute due to velocity of data change. Hence, ensuring optimal order of Joins for Big Data is still largely a manual process done via trial and error. We are proposing a novel greedy algorithm for Join Reordering which can work in the absence of statistics. Proposed technique is of linear complexity in terms of number of joins. We have observed that on TPC-DS benchmarks it can reorder 39 queries and improve query performance upto 51%.

关键词： SQL on Big Data Query Processing Join Order Data Management systems

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Multi-Agent Based distributed Dynamic State Estimation Algorithm for Smart Grid Integrating Intermittent Electric Vehicles

Multi-Agent Based Distributed Dynamic State Estimation Algor...

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Annual ieee systems conference

作者： Md Masud Rana Ahmed Abdelhadi Md Liakat Ali Amer Daowud University of Houston Texas USA Rider University NJ USA School of Computing Sciences and Computer Engineering The University of Southern Mississippi USA

Large number of physical systems such as electric vehicles and energy storage elements are connected to the main grid. Monitoring and regulating of this interconnected cyberphysical power system state within a short period of time is a challenging task, and it can perform by the process of grid state estimation. This paper proposes a multi-agent based optimal distributed dynamic state estimation algorithm for smart grid incorporating intermittent electric vehicles and turbines. After mathematically representation of large-scale grid systems into a compact state-space framework, the smart sensors are installed to get real-time measurements which are manipulated by environmental noise. A distributed smart grid state estimation process is developed and verified. Each agent learns and runs an innovation and consensus type distributed scheme based on local measurements, previous and neighbouring estimated grid states. In this way, each local agent estimated grid state converges to the global consensus estimation over time. The proposed algorithm can effectively reconstruct the original grid states.

关键词： Technological innovation Heuristic algorithms Working environment noise Power system dynamics Electric vehicles Time measurement Smart grids

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Decentralized and Secure Cooperative Edge Node Grouping to Process IoT Applications in Heterogeneous Smart Cyber-Physical systems 17

Decentralized and Secure Cooperative Edge Node Grouping to P...

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17th international Bhurban conference on Applied Sciences and Technology (IBCAST)

作者： Mudassar, Muhammad Zhai, Yanlong Liao, Lejian Zahid, Muhammad Noaman Afzal, Fatima Beijing Inst Technol Sch Comp Sci Beijing 100081 Peoples R China Beijing Inst Technol Sch Opt & Photon Beijing 100081 Peoples R China Virtual Univ Pakistan Dept Comp Sci & Informat Technol Lahore Pakistan

ISBN: (纸本)9781728146768

Smart Cyber-Physical systems (SCPS) has enhanced use of smart devices with numerous applications including smart cities, smart traffic management, smart cars, smart health care and smart grids. Core logic behind these applications usually require huge processing or massive data handling which are normally performed at cloud but the application will suffer from latency. Edge computing offers solution for latency aware computations at edge of the network but with limited resources available at edge nodes. This problem can be resolved by leveraging edge resources in a group and executing resource intensive task. Most previous studies deploy centralized methods for clustering but comes with overhead of cluster formation and management. In this article, key idea is to group heterogeneous edge nodes on task arrival in a decentralize way, and handle task allocation and execution in parallel on group devices to achieve its deadline. Our methodology will help to reduce traffic amount travelling towards cloud in case of resource intensive big tasks of SCPS applications. We have proposed an algorithm for decentralized group formation and presented task division and allocation methodology for parallel execution. Our results show that our technique is working while providing desired goals of reducing overall latency, and limiting network traffic as well as achieving higher ratio for number of tasks meeting their deadline.

关键词： Edge computing distributed computing Internet of Things Smart Cyber-Physical systems Collaborative computing

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A Process Checkpoint Evaluation at User Space of Docker Framework on distributed computing Infrastructure 12

A Process Checkpoint Evaluation at User Space of Docker Fram...

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12th international conference on Information Technology and Electrical Engineering, ICITEE 2020

作者： Adhipta, Dani Sulistyo, Selo Widyawan, Widyawan Gadjah Mada University Department of Electrical Engineering and Information Engineering Yogyakarta Indonesia

ISBN: (数字)9781728110974

ISBN: (纸本)9781728110974

This paper presents an evaluation of a process migration checkpoint issues, especially the potential collision of resources usage at user level (space) over a distributed computation infrastructure. In particular, within the docker and its container framework when application checkpointing and restore (resume) occurs quite regularly for shared computing resources. This evaluation will be utilized and be part of larger research titled "Modelling Fast User Space Mutual Exclusive (FUTEX) Process Threads in Single-System Image (SSI)". This paper is primarily written from the literature study and simple exploration experiment and are performed to gather preliminary understanding of the potential issues, performance caveats and testbed setup. The continuation future research will involve nondeterministic modelling simulation using Color Petri Net as comparison to the empirical data resulted from the testbed. It is the aim of this paper to serve as an early study of the larger research as an early exploration utilizing docker and container framework. © 2020 ieee.

关键词： Testbeds

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Characterization of Battery life of an IOT based Wireless Networked Office Lighting System 6

Characterization of Battery life of an IOT based Wireless Ne...

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6th ieee international conference on Electronics, computing and Communication Technologies, CONECCT 2020

作者： Merine George, Anna Kulkarni, S.Y. Dayananda Sagar University Dept of Electronics Communication Bengaluru India Bnmit Dept of Electronics Communication Bengaluru India

ISBN: (纸本)9781728168289

Battery lifetime in the order of several years and millimeter size devices are a target for future sensor nodes while ensuring autonomous energy operation. Increasing battery life is essential when batteries are expensive, or in security and remote health monitoring applications where replacing batteries are difficult or critical. Some techniques to increase battery lifetime include reducing the active mode current, reducing the active time, proper selection of ultra-low power processors and connectivity solutions, duty cycling the sensors and optimization of clock speed and number of wakes and run time. This work considers the lifetime estimation of an IOT based sensor-actuator system controlling LED luminaire and window blinds based on ultra-low power processors and nano timer in an office lighting scenario. For connected systems, the power required for data processing on the device and communication protocols is too demanding. Also for an IOT device the proportion of time in each operating state strongly influences battery lifetime. A comparison of battery life using different IOT processors and connectivity solutions is also depicted. © 2020 ieee.

关键词： sensor nodes

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Swarm intelligence based hierarchical routing protocols study in WSNs 6

Swarm intelligence based hierarchical routing protocols stud...

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6th international conference on Parallel, distributed and Grid computing, PDGC 2020

作者： Mehta, Deepak Saxena, Sharad Thapar Institute of Engineering Technology Computer Science and Engineering Department Patiala India Lovely Professional University Phagwara India

ISBN: (纸本)9781728171326

The applications of Wireless sensor Networks have been envisioned in numerous spheres of life in modern time. Wireless sensors enabled IoT based applications are changing the way modern life is being lived with applications into battle field surveillance, habitat monitoring, structural health, monitoring of vital parameters of human body and many more. Major constraint with these resource constrained networks is energy depletion during transmission of information with energy depletion increasing as the distance to which data is communicated increases. Energy efficient routing protocols have proved to be a formidable mechanism to save energy in WSNs. Moreover, hierarchical routing protocols are considered to be providing highest energy efficiency among all types of routing protocols. In recent times extensive research on nature inspired, swarm intelligence-based routing protocols has been observed. These optimization-based protocols not only have been established to be more energy efficient but have also performed better on several performance parameters including throughput, packet delivery ratio, delay and other QoS parameters, thus optimizing energy and other QoS based factors in a Wireless sensor Network. This paper presents a taxonomy of approaches based on swarm intelligence and a analyzes the state-of-the-art swarm intelligence-based hierarchical routing protocols. © 2020 ieee.

关键词： Wireless sensor networks

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