Pub Date : 2019-06-01DOI: 10.1109/BlackSeaCom.2019.8812862
H. Al-Tous, I. Barhumi
In this paper, a distributed reinforcement-learning (RL) algorithm is proposed for power control and data scheduling in energy-harvesting (EH) multi-hop wireless-sensor-networks (WSNs). The WSN consists of M EH sensor nodes aiming to transmit their data to a sink node with minimum delay. Each sensor node has a battery of limited capacity to save the harvested energy and a buffer of limited size to store both the sensed and relayed data from neighboring nodes. A state-action-reward-state-action (SARSA) based distributed algorithm is proposed. The proposed distributed-SARSA (D-SARSA) algorithm adaptively changes the transmitted data and power control at each sensor node according to the state information such that the data of all sensor nodes are received at the sink node with minimum delay. Simulation results demonstrate the merits of the proposed algorithm.
{"title":"Distributed Reinforcement Learning Algorithm for Energy Harvesting Sensor Networks","authors":"H. Al-Tous, I. Barhumi","doi":"10.1109/BlackSeaCom.2019.8812862","DOIUrl":"https://doi.org/10.1109/BlackSeaCom.2019.8812862","url":null,"abstract":"In this paper, a distributed reinforcement-learning (RL) algorithm is proposed for power control and data scheduling in energy-harvesting (EH) multi-hop wireless-sensor-networks (WSNs). The WSN consists of M EH sensor nodes aiming to transmit their data to a sink node with minimum delay. Each sensor node has a battery of limited capacity to save the harvested energy and a buffer of limited size to store both the sensed and relayed data from neighboring nodes. A state-action-reward-state-action (SARSA) based distributed algorithm is proposed. The proposed distributed-SARSA (D-SARSA) algorithm adaptively changes the transmitted data and power control at each sensor node according to the state information such that the data of all sensor nodes are received at the sink node with minimum delay. Simulation results demonstrate the merits of the proposed algorithm.","PeriodicalId":359145,"journal":{"name":"2019 IEEE International Black Sea Conference on Communications and Networking (BlackSeaCom)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114949144","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}
Pub Date : 2019-06-01DOI: 10.1109/BlackSeaCom.2019.8812861
G. Svistunov, Usatyuk Vasiliy
We introduce quasi-cyclic extension method for performance improving of the length adaptive Multi-Edge Type (MET) Quasi-cyclic LDPC (QC-LDPC) codes below the Block Error Rate (BLER) 10−5. Proposed method allows to construct MET QC-LDPC Codes for variable code length with the modular lifting of 5G eMBB Base Graph 2. Simulation results under 50 iterations of sum-product decoding over an AWGN channel with QPSK modulation are provided. It shows near same performance for information length k < 600 and from 0.1 – 0.3 dB gain on k > 600 compared with 5G eMBB codes.
{"title":"Interleaved Cyclic Group Decomposition Length Adaptive MET QC-LDPC Codes","authors":"G. Svistunov, Usatyuk Vasiliy","doi":"10.1109/BlackSeaCom.2019.8812861","DOIUrl":"https://doi.org/10.1109/BlackSeaCom.2019.8812861","url":null,"abstract":"We introduce quasi-cyclic extension method for performance improving of the length adaptive Multi-Edge Type (MET) Quasi-cyclic LDPC (QC-LDPC) codes below the Block Error Rate (BLER) 10−5. Proposed method allows to construct MET QC-LDPC Codes for variable code length with the modular lifting of 5G eMBB Base Graph 2. Simulation results under 50 iterations of sum-product decoding over an AWGN channel with QPSK modulation are provided. It shows near same performance for information length k < 600 and from 0.1 – 0.3 dB gain on k > 600 compared with 5G eMBB codes.","PeriodicalId":359145,"journal":{"name":"2019 IEEE International Black Sea Conference on Communications and Networking (BlackSeaCom)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129717121","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}
Pub Date : 2019-06-01DOI: 10.1109/BlackSeaCom.2019.8812813
V. Shakhov, S. Jan, Saeed Ahmed, Insoo Koo
Integration of the internet into the entities of the different domains of human society is emerging as a new paradigm called the Internet of Things. At the same time, the ubiquitous and wide-range systems make them prone to attacks. Security experts have warned of the potential risk of huge numbers of unsecured devices united into the global ubiquitous system. To unlock the potential of Internet of Things it needs to improve the security of applications. An intrusion detection mechanism is an important element of security paradigm. However conventional intrusion detection methods are expected to fail, because many user devices have constrained resources. In this paper, we consider a lightweight attack detection strategy utilizing machine learning techniques, which is appropriate for low-resource IoT devices.
{"title":"On Lightweight Method for Intrusions Detection in the Internet of Things","authors":"V. Shakhov, S. Jan, Saeed Ahmed, Insoo Koo","doi":"10.1109/BlackSeaCom.2019.8812813","DOIUrl":"https://doi.org/10.1109/BlackSeaCom.2019.8812813","url":null,"abstract":"Integration of the internet into the entities of the different domains of human society is emerging as a new paradigm called the Internet of Things. At the same time, the ubiquitous and wide-range systems make them prone to attacks. Security experts have warned of the potential risk of huge numbers of unsecured devices united into the global ubiquitous system. To unlock the potential of Internet of Things it needs to improve the security of applications. An intrusion detection mechanism is an important element of security paradigm. However conventional intrusion detection methods are expected to fail, because many user devices have constrained resources. In this paper, we consider a lightweight attack detection strategy utilizing machine learning techniques, which is appropriate for low-resource IoT devices.","PeriodicalId":359145,"journal":{"name":"2019 IEEE International Black Sea Conference on Communications and Networking (BlackSeaCom)","volume":"34 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129170300","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}
Pub Date : 2019-06-01DOI: 10.1109/BlackSeaCom.2019.8812815
Anastasiia Smeshko, F. Ivanov
We consider a signal-code construction for a special class of multiple access system over vector-disjunctive channel when users transmit some vector of bits of length L. Suggested scheme is based on codes on Gilbert-Varshamov bound that allows us to estimate reachable limit of code rate. In order to analyze complex expression of relative sum-rate we provide an estimation. We present simulation results for optimal parameters for relative sum-rate. Simulation results we obtained allow us to conclude that maximum achievable sum-rate is about 0.35.
{"title":"Signal-Code Construction Based on Codes on Gilbert-Varshamov Bound for Multiple Access System over Vector-Disjunctive Channel","authors":"Anastasiia Smeshko, F. Ivanov","doi":"10.1109/BlackSeaCom.2019.8812815","DOIUrl":"https://doi.org/10.1109/BlackSeaCom.2019.8812815","url":null,"abstract":"We consider a signal-code construction for a special class of multiple access system over vector-disjunctive channel when users transmit some vector of bits of length L. Suggested scheme is based on codes on Gilbert-Varshamov bound that allows us to estimate reachable limit of code rate. In order to analyze complex expression of relative sum-rate we provide an estimation. We present simulation results for optimal parameters for relative sum-rate. Simulation results we obtained allow us to conclude that maximum achievable sum-rate is about 0.35.","PeriodicalId":359145,"journal":{"name":"2019 IEEE International Black Sea Conference on Communications and Networking (BlackSeaCom)","volume":"45 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123977167","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}
Pub Date : 2019-06-01DOI: 10.1109/BlackSeaCom.2019.8812786
V. Krundyshev, M. Kalinin
Smart infrastructure is being developed on the basis of deep integration of cyberphysical systems and telecommunication networks to form a customer-oriented cyberspace. It acquires the ability to analyze the state of the entire system in real time to produce information and control processes in it. For splitting the cybernetic and ITC spaces, smart infrastructure is more vulnerable to security and safety threats than a static inter-computer network. This paper discusses an approach for detecting a specific safety threat, the false data injection (FDI), targeted at the smart infrastructures of such types as industrial Internet of Things (IIoT), smart buildings, e-hospitals, smart grids. This is a description of the proposed approach to identify the FDI attacks applying our new method that integrates a set of machine learning techniques. New approach has demonstrated 97% of accuracy at FDI prevention.
{"title":"Prevention of false data injections in smart infrastructures","authors":"V. Krundyshev, M. Kalinin","doi":"10.1109/BlackSeaCom.2019.8812786","DOIUrl":"https://doi.org/10.1109/BlackSeaCom.2019.8812786","url":null,"abstract":"Smart infrastructure is being developed on the basis of deep integration of cyberphysical systems and telecommunication networks to form a customer-oriented cyberspace. It acquires the ability to analyze the state of the entire system in real time to produce information and control processes in it. For splitting the cybernetic and ITC spaces, smart infrastructure is more vulnerable to security and safety threats than a static inter-computer network. This paper discusses an approach for detecting a specific safety threat, the false data injection (FDI), targeted at the smart infrastructures of such types as industrial Internet of Things (IIoT), smart buildings, e-hospitals, smart grids. This is a description of the proposed approach to identify the FDI attacks applying our new method that integrates a set of machine learning techniques. New approach has demonstrated 97% of accuracy at FDI prevention.","PeriodicalId":359145,"journal":{"name":"2019 IEEE International Black Sea Conference on Communications and Networking (BlackSeaCom)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131144936","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}
Pub Date : 2019-06-01DOI: 10.1109/blackseacom.2019.8812851
{"title":"BlackSeaCom 2019 Program","authors":"","doi":"10.1109/blackseacom.2019.8812851","DOIUrl":"https://doi.org/10.1109/blackseacom.2019.8812851","url":null,"abstract":"","PeriodicalId":359145,"journal":{"name":"2019 IEEE International Black Sea Conference on Communications and Networking (BlackSeaCom)","volume":"26 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124781728","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}
Pub Date : 2019-06-01DOI: 10.1109/blackseacom.2019.8812849
{"title":"BlackSeaCom 2019 Sponsors","authors":"","doi":"10.1109/blackseacom.2019.8812849","DOIUrl":"https://doi.org/10.1109/blackseacom.2019.8812849","url":null,"abstract":"","PeriodicalId":359145,"journal":{"name":"2019 IEEE International Black Sea Conference on Communications and Networking (BlackSeaCom)","volume":"42 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129941722","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}
Pub Date : 2019-06-01DOI: 10.1109/BlackSeaCom.2019.8812814
L. Vangelista, L. Dell’Anna, Pierpaolo Palazzzoli
In this paper we consider the application of the LoRaWAN™ technology for metering purposes. We compare this technology with a well established technology for metering applications such as the WM-Bus. We take as key performance indicator the battery lifetime, keeping the same Quality of Service. The distinctive features of this paper is to collect real data from measurement campaigns in full fledged carrier grade networks and to consider two generations of meters from the same manufacturer. The results of the measurements show that the LoRaWAN meters outperforms the WMBus meters significantly as far as the battery lifetime is concerned.
{"title":"A battery lifetime comparison between LoraWAN and Wireless MBus smart meters","authors":"L. Vangelista, L. Dell’Anna, Pierpaolo Palazzzoli","doi":"10.1109/BlackSeaCom.2019.8812814","DOIUrl":"https://doi.org/10.1109/BlackSeaCom.2019.8812814","url":null,"abstract":"In this paper we consider the application of the LoRaWAN™ technology for metering purposes. We compare this technology with a well established technology for metering applications such as the WM-Bus. We take as key performance indicator the battery lifetime, keeping the same Quality of Service. The distinctive features of this paper is to collect real data from measurement campaigns in full fledged carrier grade networks and to consider two generations of meters from the same manufacturer. The results of the measurements show that the LoRaWAN meters outperforms the WMBus meters significantly as far as the battery lifetime is concerned.","PeriodicalId":359145,"journal":{"name":"2019 IEEE International Black Sea Conference on Communications and Networking (BlackSeaCom)","volume":"24 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114175622","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}
Pub Date : 2019-06-01DOI: 10.1109/blackseacom.2019.8812777
{"title":"BlackSeaCom 2019 Technical Program Committee","authors":"","doi":"10.1109/blackseacom.2019.8812777","DOIUrl":"https://doi.org/10.1109/blackseacom.2019.8812777","url":null,"abstract":"","PeriodicalId":359145,"journal":{"name":"2019 IEEE International Black Sea Conference on Communications and Networking (BlackSeaCom)","volume":"206 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115729567","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}
Pub Date : 2019-06-01DOI: 10.1109/blackseacom.2019.8812773
{"title":"BlackSeaCom 2019 Cover Page","authors":"","doi":"10.1109/blackseacom.2019.8812773","DOIUrl":"https://doi.org/10.1109/blackseacom.2019.8812773","url":null,"abstract":"","PeriodicalId":359145,"journal":{"name":"2019 IEEE International Black Sea Conference on Communications and Networking (BlackSeaCom)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131242578","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}
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