{"title":"An Iterative Stochastic Approach to Constrained Drones' Communications","authors":"Giovanni Iacovelli, Pietro Boccadoro, L. Grieco","doi":"10.1109/DS-RT50469.2020.9213645","DOIUrl":"https://doi.org/10.1109/DS-RT50469.2020.9213645","url":null,"abstract":"The Internet of Drones paradigm is considered as a key enabler for several cutting edge verticals, including surveillance, planetary exploration, protection, loads transportation, and aerology. The main limitations to its wide-scale adoption arise from the constraints on the resources available onboard of drones: this concerns energy, computational and storage capabilities. Unfortunately, current literature mainly focuses on energy limitations, leaving unexplored the interplay with other constraints. To bridge this gap, the present contribution also encompasses the limitations on the memory onboard, which can be critical when drones have to acquire high resolution multimedia signals for ambient awareness services. In particular, an iterative stochastic approach is conceived hereby to tune data flows from/to drones subject to energy and memory constraints in order to fulfill an Out-of-Service probability below a given threshold. Stemming from the proposed approach, two algorithms have been also designed that seek a different complexity-performance tradeoff. The first one is less complex and more conservative, since it plans the mission once at the beginning. The second, instead, is slightly more complex and aggressive but it allows the drone to gather and upload a higher volume of data and shorten the gap with respect to the ideal case.","PeriodicalId":149260,"journal":{"name":"2020 IEEE/ACM 24th International Symposium on Distributed Simulation and Real Time Applications (DS-RT)","volume":"6 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125223555","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}
Anselm Erdmann, A. Marcellan, D. Hering, M. Suriyah, C. Ulbrich, M. Henke, A. Xhonneux, D. Müller, R. Schlatmann, V. Hagenmeyer
{"title":"On Verification of Designed Energy Systems Using Distributed Co-Simulations","authors":"Anselm Erdmann, A. Marcellan, D. Hering, M. Suriyah, C. Ulbrich, M. Henke, A. Xhonneux, D. Müller, R. Schlatmann, V. Hagenmeyer","doi":"10.1109/DS-RT50469.2020.9213689","DOIUrl":"https://doi.org/10.1109/DS-RT50469.2020.9213689","url":null,"abstract":"An essential part of the energy systems design procedure is simulation, since it serves as a tool for verification of the respective design. It serves the verifying of a stable operation of developed energy systems infrastructure, before it comes to the realization. As energy systems integration becomes an important part in a low carbon energy scenario in the future, the cooperation of experts specialized in various domains crucial to single aspects of the energy system is indispensable. Cosimulation, yet, enables the modelling in the familiar environment of the experts, but requires a detailed coordination of the simulation interfaces between the specific expert models. Hence, standardized interfaces are crucial to the efficient use of expert knowledge in distributed co-simulations. Therefore, in the presented paper a workflow for the co-simulation development of energy systems simulations, which simplifies the coordination procedure significantly by standardizing the interfaces between the models and their simulations, is introduced. The approach is exemplarily applied to the energy system design of a district comprising electricity and heat in order to show its successful performance.","PeriodicalId":149260,"journal":{"name":"2020 IEEE/ACM 24th International Symposium on Distributed Simulation and Real Time Applications (DS-RT)","volume":"283 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131956445","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}
Michael Kyesswa, Philipp Schmurr, H. Çakmak, U. Kühnapfel, V. Hagenmeyer
{"title":"A New Julia-Based Parallel Time-Domain Simulation Algorithm for Analysis of Power System Dynamics","authors":"Michael Kyesswa, Philipp Schmurr, H. Çakmak, U. Kühnapfel, V. Hagenmeyer","doi":"10.1109/DS-RT50469.2020.9213602","DOIUrl":"https://doi.org/10.1109/DS-RT50469.2020.9213602","url":null,"abstract":"The present paper describes a new parallel time-domain simulation algorithm using a high performance computing environment - Julia - for the analysis of power system dynamics in large networks. The parallel algorithm adapts a parallel-in-space decomposition scheme to a previously sequential algorithm in order to develop a new parallelizable numerical solution of the power system equations. The parallel-in-space decomposition is based on the block bordered diagonal form, which reformulates the network admittance matrix into sub-blocks that can be solved in parallel. For the optimal spatial decomposition of the network, a new extended graph partitioning strategy is developed for load balancing and minimizing the communication between subnetworks. The new parallel simulation algorithm is tested using standard test networks of varying complexity. The simulation results are compared to those obtained from a sequential implementation in order to validate the solution accuracy and to determine the performance improvement in terms of computational speedup. Test simulations are conducted using the ForHLR II supercomputing cluster and show a huge potential in computational speedup with increasing network complexity.","PeriodicalId":149260,"journal":{"name":"2020 IEEE/ACM 24th International Symposium on Distributed Simulation and Real Time Applications (DS-RT)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130978259","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}