2020 16th International Conference on Distributed Computing in Sensor Systems (DCOSS)最新文献_第5页

DCOSS 2020 Committees dcos2020委员会

2020 16th International Conference on Distributed Computing in Sensor Systems (DCOSS) Pub Date : 2020-05-01 DOI: 10.1109/dcoss49796.2020.00008

引用次数: 0

Message from the Workshop Chairs 研讨会主席致辞

2020 16th International Conference on Distributed Computing in Sensor Systems (DCOSS) Pub Date : 2020-05-01 DOI: 10.1109/dcoss49796.2020.00011

引用次数: 0

Message from the Workshop General Chair 讲习班总主席致辞

2020 16th International Conference on Distributed Computing in Sensor Systems (DCOSS) Pub Date : 2020-05-01 DOI: 10.1109/dcoss49796.2020.00012

引用次数: 0

Speeding-up Routing Schedules on Aisle-Graphs 通道图上的加速路由调度

2020 16th International Conference on Distributed Computing in Sensor Systems (DCOSS) Pub Date : 2020-05-01 DOI: 10.1109/DCOSS49796.2020.00023

Francesco Betti Sorbelli, Federico Coró, Sajal K. Das, A. Navarra, M. C. Pinotti

{"title":"Speeding-up Routing Schedules on Aisle-Graphs","authors":"Francesco Betti Sorbelli, Federico Coró, Sajal K. Das, A. Navarra, M. C. Pinotti","doi":"10.1109/DCOSS49796.2020.00023","DOIUrl":"https://doi.org/10.1109/DCOSS49796.2020.00023","url":null,"abstract":"In this paper, we study the Orienteering Aisle-graphs Single-column Problem (OASP), which is a variant of the route planning problem for an entity/robot moving along a specific aisle-graph consisting of a set of rows connected via just one column at one endpoint of the rows. Such constrained aisle-graph may model, for instance, a vineyard or warehouse, where each vertex is assigned with a reward that a robot gains when visiting it for accomplishing a task. As the robot is energy limited, it must visit a subset of vertices before going back to the depot for recharging, while maximizing the total reward gained. It is known that the OASP for constrained aisle-graphs composed by m rows of length n is polynomially solvable in $mathcal{O}left( {{m^2}{n^2}} right)$ time, which can be prohibitive for graphs of large dimensions. With the goal of designing more time efficient solutions, we propose four algorithms that iteratively build the solution in a greedy manner. These solutions take at most $mathcal{O}(mn(m + n))$ time, thus improving the optimal solution by a factor of n. Experimentally, we show that these algorithms collect more than 80% of the optimum reward. For two of them, we also guarantee an approximation ratio of $frac{1}{2}left( {1 - frac{1}{e}} right)$ on the reward function by exploiting the submodularity property, where e is the base of the natural logarithm.","PeriodicalId":198837,"journal":{"name":"2020 16th International Conference on Distributed Computing in Sensor Systems (DCOSS)","volume":"362 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133161275","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 3

Message from the ISIoT 2020 Workshop Chairs 2020年ISIoT研讨会主席致辞

2020 16th International Conference on Distributed Computing in Sensor Systems (DCOSS) Pub Date : 2020-05-01 DOI: 10.1109/dcoss49796.2020.00013

引用次数: 0

Privacy-preserving solutions in the Industrial Internet of Things 工业物联网中的隐私保护解决方案

2020 16th International Conference on Distributed Computing in Sensor Systems (DCOSS) Pub Date : 2020-05-01 DOI: 10.1109/DCOSS49796.2020.00044

George Drosatos, K. Rantos, D. Karampatzakis, T. Lagkas, P. Sarigiannidis

引用次数: 8

Distributed Algorithm for Opportunistic Spectrum Access in Dynamic Ad Hoc Networks 动态Ad Hoc网络中机会频谱接入的分布式算法

2020 16th International Conference on Distributed Computing in Sensor Systems (DCOSS) Pub Date : 2020-05-01 DOI: 10.1109/DCOSS49796.2020.00079

Rohit Kumar, S. Darak, M. Hanawal

{"title":"Distributed Algorithm for Opportunistic Spectrum Access in Dynamic Ad Hoc Networks","authors":"Rohit Kumar, S. Darak, M. Hanawal","doi":"10.1109/DCOSS49796.2020.00079","DOIUrl":"https://doi.org/10.1109/DCOSS49796.2020.00079","url":null,"abstract":"The opportunistic spectrum access (OSA) algorithms allow secondary users (SUs) to exploit vacant channels with an aim to maximize overall spectrum utilization/throughput. The design of OSA algorithm is challenging for ad hoc networks due to lack of coordination among SUs and unknown channel statistics. It becomes even more challenging for the dynamic networks where the SUs can enter or leave the network any time without prior agreement. Most of the existing algorithms assume either prior knowledge of the number of SUs or need wideband sensing to sense all channels simultaneously to guarantee optimal channel allocation among SUs. Our goal in this paper is to develop distributed OSA algorithm for dynamic ad hoc networks that offers higher throughput without compromising on the number of SUs collisions. The proposed distributed algorithm is based on multi-player multi-arm bandit framework and they allow SUs to independently estimate the number of other SUs and channel statistics. We derive the upper bounds on the throughput loss (regret) and number of collisions. Exhaustive synthetic results and experimental results on universal software radio peripherals (USRP) based testbed validate our claims and superiority of the proposed algorithm.","PeriodicalId":198837,"journal":{"name":"2020 16th International Conference on Distributed Computing in Sensor Systems (DCOSS)","volume":"22 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"120974992","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 1

Building Health Monitoring Using Computational Auditory Scene Analysis 基于计算听觉场景分析的建筑健康监测

2020 16th International Conference on Distributed Computing in Sensor Systems (DCOSS) Pub Date : 2020-05-01 DOI: 10.1109/DCOSS49796.2020.00033

M. Kawamoto, T. Hamamoto

引用次数: 1

An IoT based Solar Park Health Monitoring System for PID and Hotspots Effects 基于物联网的太阳能园区PID和热点健康监测系统

2020 16th International Conference on Distributed Computing in Sensor Systems (DCOSS) Pub Date : 2020-05-01 DOI: 10.1109/DCOSS49796.2020.00069

G. Filios, Ioannis Katsidimas, Emmanouil Kerimakis, S. Nikoletseas, Alexandros Souroulagkas, P. Spirakis

{"title":"An IoT based Solar Park Health Monitoring System for PID and Hotspots Effects","authors":"G. Filios, Ioannis Katsidimas, Emmanouil Kerimakis, S. Nikoletseas, Alexandros Souroulagkas, P. Spirakis","doi":"10.1109/DCOSS49796.2020.00069","DOIUrl":"https://doi.org/10.1109/DCOSS49796.2020.00069","url":null,"abstract":"With solar parks being established as one of the most important renewable energy systems, there is a strong need for more efficient use of the services they provide, as well as error detection and performance issues confrontation. Internet of Things (IoT) technology, aims to fill the gap, by offering low cost and sustainable solutions towards the efficient operation of these parks. In this paper, we present an in situ monitoring and alerting system, based on WSN technologies, regarding the early detection of Potential Induced Degradation (PID) and Hotspots failures, that can cause a significant drop in solar panels’ performance. In order to do so, specific non-trivial attributes such as temperature, humidity, irradiance, current and voltage are continuously monitored at panel level, and processed in a cloud based platform to early identify these phenomena. In particular, sensor nodes send data to a centralized local sink module using a multi-hop WSN architecture, in order to establish a robust and large coverage area. Afterwards, the information is propagated to the cloud server, where deterministic diagnostic algorithms are applied. We present the reference architecture of our approach, alongside the corresponding hardware and software structural, individual components, as well as the integration process and the use case that runs over a real solar park.","PeriodicalId":198837,"journal":{"name":"2020 16th International Conference on Distributed Computing in Sensor Systems (DCOSS)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116637030","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 3

A smart energy management power supply unit for low-power IoT systems 用于低功耗物联网系统的智能能源管理电源单元

2020 16th International Conference on Distributed Computing in Sensor Systems (DCOSS) Pub Date : 2020-05-01 DOI: 10.1109/DCOSS49796.2020.00045

G. Filios, Ioannis Katsidimas, S. Nikoletseas, Alexandros Souroulagkas, P. Spirakis, Ioannis Tsenempis

{"title":"A smart energy management power supply unit for low-power IoT systems","authors":"G. Filios, Ioannis Katsidimas, S. Nikoletseas, Alexandros Souroulagkas, P. Spirakis, Ioannis Tsenempis","doi":"10.1109/DCOSS49796.2020.00045","DOIUrl":"https://doi.org/10.1109/DCOSS49796.2020.00045","url":null,"abstract":"A lot of research has been contributed towards smart energy harvesting, efficient energy management and energy storage/supply capabilities, as they are considered a major bottleneck in Wireless Sensor Networks (WSNs). Similarly, there is an extreme interest to design new algorithms and protocols regarding energy harvesting prediction, load's energy consuming profiling, etc. Although those techniques improve energy efficiency, it still remains to solve the fundamental problem of energy provisioning in a more practical, real-life manner, as the majority of the hardware solutions choose to produce simple and robust implementations. In this paper, we present a smart energy management platform for low-power IoT systems that implements both energy harvesting and storage technologies but dynamically sets different power modes based on online monitoring measurements and energy harvesting prediction. With respect to power specifications our solution succeeds to both supply and inform the load system for future energy provisioning capability. Thus, our prototype can be characterised as a load agnostic device w.r.t. specification values, that can adjust to different conditions and use cases towards an effective system energy provisioning.","PeriodicalId":198837,"journal":{"name":"2020 16th International Conference on Distributed Computing in Sensor Systems (DCOSS)","volume":"88 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121709424","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 1