Pub Date : 2018-04-01DOI: 10.1109/WCNCW.2018.8369003
A. Yang, A. Sundararajan, Craig B. Schindler, K. Pister
Timeslotted Channel Hopping (TSCH) is a mode of the IEEE802.15.4 standard for low-power wireless sensor networks. We discuss the variation in performance of a 6TÍSCH network implemented using OpenWSN, an open-source implementation of current low-power wireless sensor networking standards, by measuring end-to-end packet latency — the time between an event trigger signaling the transmitter node's microprocessor to create a packet, and the packet reception on the receiving node — with 0.5 millisecond accuracy. In TSCH networks, time is divided into repeated chunks known as slotframes, which are further divided into timeslots. We explore the effect the number of available transmission slots has on packet end-to-end latency for an 11 slot 6TÍSCH network with 1, 3, 5, 8, and 11 active slots. Results are reported for a setup with one transmitter and one receiver.
{"title":"Analysis of low latency TSCH networks for physical event detection","authors":"A. Yang, A. Sundararajan, Craig B. Schindler, K. Pister","doi":"10.1109/WCNCW.2018.8369003","DOIUrl":"https://doi.org/10.1109/WCNCW.2018.8369003","url":null,"abstract":"Timeslotted Channel Hopping (TSCH) is a mode of the IEEE802.15.4 standard for low-power wireless sensor networks. We discuss the variation in performance of a 6TÍSCH network implemented using OpenWSN, an open-source implementation of current low-power wireless sensor networking standards, by measuring end-to-end packet latency — the time between an event trigger signaling the transmitter node's microprocessor to create a packet, and the packet reception on the receiving node — with 0.5 millisecond accuracy. In TSCH networks, time is divided into repeated chunks known as slotframes, which are further divided into timeslots. We explore the effect the number of available transmission slots has on packet end-to-end latency for an 11 slot 6TÍSCH network with 1, 3, 5, 8, and 11 active slots. Results are reported for a setup with one transmitter and one receiver.","PeriodicalId":122391,"journal":{"name":"2018 IEEE Wireless Communications and Networking Conference Workshops (WCNCW)","volume":"27 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132810959","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 : 2018-04-01DOI: 10.1109/WCNCW.2018.8369031
B. Coll-Perales, M. Gruteser, J. Gozálvez
Autonomous vehicles can construct a more accurate perception of their surrounding environment by exchanging rich sensor data with nearby vehicles. Such exchange can require larger bandwidths than currently provided by ITS-G5/DSRC and Cellular V2X. Millimeter wave (mmWave) communications can provide higher bandwidth and could complement current V2X standards. Recent studies have started investigating the potential of IEEE 802.11ad to support high bandwidth vehicular communications. This paper introduces the first performance evaluation of the IEEE 802.11ad MAC (Medium Access Control) and beamforming mechanism for mmWave V2V communications. The study highlights existing opportunities and shortcomings that should guide the development of mmWave communications for V2V communications.
{"title":"Evaluation of IEEE 802.11ad for mmWave V2V communications","authors":"B. Coll-Perales, M. Gruteser, J. Gozálvez","doi":"10.1109/WCNCW.2018.8369031","DOIUrl":"https://doi.org/10.1109/WCNCW.2018.8369031","url":null,"abstract":"Autonomous vehicles can construct a more accurate perception of their surrounding environment by exchanging rich sensor data with nearby vehicles. Such exchange can require larger bandwidths than currently provided by ITS-G5/DSRC and Cellular V2X. Millimeter wave (mmWave) communications can provide higher bandwidth and could complement current V2X standards. Recent studies have started investigating the potential of IEEE 802.11ad to support high bandwidth vehicular communications. This paper introduces the first performance evaluation of the IEEE 802.11ad MAC (Medium Access Control) and beamforming mechanism for mmWave V2V communications. The study highlights existing opportunities and shortcomings that should guide the development of mmWave communications for V2V communications.","PeriodicalId":122391,"journal":{"name":"2018 IEEE Wireless Communications and Networking Conference Workshops (WCNCW)","volume":"33 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130604754","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 : 2018-04-01DOI: 10.1109/WCNCW.2018.8368995
H. Miao, Michael Faerber
New radio technologies for the fifth generation of wireless system have been extensively studied globally. Specifically, air interface protocols for 5G radio access network will be standardized in coming years by 3GPP. Due to its crucial function in scheduled system, physical layer downlink control channel (PDCCH) is a core element to enable all physical layer data transmissions. Recently, configurable distributed PDCCH with the intention to cope with different scenarios has been developed in 3GPP. To have comprehensive understanding of respective technical advantages and potential scenario dependent limitations, detailed performance analysis and evaluations of configurable distributed PDCCH are thoroughly studied in this paper. In particular, exponential effective SNR mapping (EESM) has been employed as the performance metric of configurable distributed PDCCH in different scenarios. It is demonstrated from EESM results that configurable distributed PDCCH offers additional degree of freedom for the trade-off between achieved frequency diversity and channel estimation gain by adjusting resource bundling level according to the channel and interference scenario experienced by the control channel transmission.
{"title":"Configurable distributed physical downlink control channel for 5G new radio: Resource bundling and diversity trade-off","authors":"H. Miao, Michael Faerber","doi":"10.1109/WCNCW.2018.8368995","DOIUrl":"https://doi.org/10.1109/WCNCW.2018.8368995","url":null,"abstract":"New radio technologies for the fifth generation of wireless system have been extensively studied globally. Specifically, air interface protocols for 5G radio access network will be standardized in coming years by 3GPP. Due to its crucial function in scheduled system, physical layer downlink control channel (PDCCH) is a core element to enable all physical layer data transmissions. Recently, configurable distributed PDCCH with the intention to cope with different scenarios has been developed in 3GPP. To have comprehensive understanding of respective technical advantages and potential scenario dependent limitations, detailed performance analysis and evaluations of configurable distributed PDCCH are thoroughly studied in this paper. In particular, exponential effective SNR mapping (EESM) has been employed as the performance metric of configurable distributed PDCCH in different scenarios. It is demonstrated from EESM results that configurable distributed PDCCH offers additional degree of freedom for the trade-off between achieved frequency diversity and channel estimation gain by adjusting resource bundling level according to the channel and interference scenario experienced by the control channel transmission.","PeriodicalId":122391,"journal":{"name":"2018 IEEE Wireless Communications and Networking Conference Workshops (WCNCW)","volume":"12 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126746485","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 : 2018-04-01DOI: 10.1109/WCNCW.2018.8369005
Peihong Yuan, Fabian Steiner, Tobias Prinz, Georg Böcherer
A flexible incremental redundancy hybrid automated repeat request (IR-HARQ) scheme for polar codes is proposed based on dynamically frozen bits and the quasi-uniform puncturing (QUP) algorithm. The length of each transmission is not restricted to a power of two. It is applicable for the binary input additive white Gaussian noise (biAWGN) channel as well as higher-order modulation. Simulation results show that this scheme has similar performance as directly designed polar codes with QUP and outperforms LTE-turbo and 5G-LDPC codes with IR-HARQ.
{"title":"Flexible IR-HARQ scheme for polar-coded modulation","authors":"Peihong Yuan, Fabian Steiner, Tobias Prinz, Georg Böcherer","doi":"10.1109/WCNCW.2018.8369005","DOIUrl":"https://doi.org/10.1109/WCNCW.2018.8369005","url":null,"abstract":"A flexible incremental redundancy hybrid automated repeat request (IR-HARQ) scheme for polar codes is proposed based on dynamically frozen bits and the quasi-uniform puncturing (QUP) algorithm. The length of each transmission is not restricted to a power of two. It is applicable for the binary input additive white Gaussian noise (biAWGN) channel as well as higher-order modulation. Simulation results show that this scheme has similar performance as directly designed polar codes with QUP and outperforms LTE-turbo and 5G-LDPC codes with IR-HARQ.","PeriodicalId":122391,"journal":{"name":"2018 IEEE Wireless Communications and Networking Conference Workshops (WCNCW)","volume":"40 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124717060","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 : 2018-04-01DOI: 10.1109/WCNCW.2018.8368975
Zhenyu Zhou, Pengju Liu, Zheng Chang, Chen Xu, Yan Zhang
In this paper, an energy-efficient vehicular edge computing (VEC) framework is proposed for in-vehicle user equipments (UEs) with limited battery capacity. Firstly, the energy consumption minimization problem is formulated as a joint workload offloading and power control problem, with the explicit consideration of energy consumption and delay models. Queuing theory is applied to derive the stochastic traffic models at UEs and VEC nodes. Then, the original NP-hard problem is transformed to a convex global consensus problem, which can be decomposed into several parallel subproblems and solved subsequently. Next, an alternating direction method of multipliers (ADMM)-based energy-efficient resource allocation algorithm is developed, whose outer loop representing iterations of nonlinear fractional programming, while inner loop representing iterations of primal and dual variable updates. Finally, the relationships between energy consumption and key parameters such as workload offloading portion and transmission power are validated through numerical results.
{"title":"Energy-efficient workload offloading and power control in vehicular edge computing","authors":"Zhenyu Zhou, Pengju Liu, Zheng Chang, Chen Xu, Yan Zhang","doi":"10.1109/WCNCW.2018.8368975","DOIUrl":"https://doi.org/10.1109/WCNCW.2018.8368975","url":null,"abstract":"In this paper, an energy-efficient vehicular edge computing (VEC) framework is proposed for in-vehicle user equipments (UEs) with limited battery capacity. Firstly, the energy consumption minimization problem is formulated as a joint workload offloading and power control problem, with the explicit consideration of energy consumption and delay models. Queuing theory is applied to derive the stochastic traffic models at UEs and VEC nodes. Then, the original NP-hard problem is transformed to a convex global consensus problem, which can be decomposed into several parallel subproblems and solved subsequently. Next, an alternating direction method of multipliers (ADMM)-based energy-efficient resource allocation algorithm is developed, whose outer loop representing iterations of nonlinear fractional programming, while inner loop representing iterations of primal and dual variable updates. Finally, the relationships between energy consumption and key parameters such as workload offloading portion and transmission power are validated through numerical results.","PeriodicalId":122391,"journal":{"name":"2018 IEEE Wireless Communications and Networking Conference Workshops (WCNCW)","volume":"81 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132626780","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 : 2018-04-01DOI: 10.1109/WCNCW.2018.8369016
D. García-Roger, David Martín-Sacristán, Sandra Roger, J. Monserrat, A. Kousaridas, P. Spapis, S. Ayaz, Chan Zhou
The automotive industry is currently conceiving the future cars of the 2020s, which are expected to combine multiple antenna elements distributed across the car body in order to enhance their communication capabilities. This paper describes a novel approach for channel characterization that uses the ray tracing capabilities of the Unity 3D game engine on a vehicle-to-vehicle scenario supported by fifth-generation mobile communications. First, a validation process was carried out, which satisfactorily validated the path loss results of our Unity approach with respect to channel measurements available in the literature for V2V communication at 5.2 GHz and 5.75 GHz. Then, path loss results were obtained for a comprehensive set of involved vehicle arrangements considering multiple transmission and reception antenna combinations at 5.9 GHz. The results suggest that, in future 5G V2V scenarios, the selection of the antenna combination providing the minimum path loss in a particular situation, could maximize the received signal level, thus playing an essential role in ensuring the best possible channel conditions for vehicular communications.
{"title":"5G multi-antenna V2V channel modeling with a 3D game engine","authors":"D. García-Roger, David Martín-Sacristán, Sandra Roger, J. Monserrat, A. Kousaridas, P. Spapis, S. Ayaz, Chan Zhou","doi":"10.1109/WCNCW.2018.8369016","DOIUrl":"https://doi.org/10.1109/WCNCW.2018.8369016","url":null,"abstract":"The automotive industry is currently conceiving the future cars of the 2020s, which are expected to combine multiple antenna elements distributed across the car body in order to enhance their communication capabilities. This paper describes a novel approach for channel characterization that uses the ray tracing capabilities of the Unity 3D game engine on a vehicle-to-vehicle scenario supported by fifth-generation mobile communications. First, a validation process was carried out, which satisfactorily validated the path loss results of our Unity approach with respect to channel measurements available in the literature for V2V communication at 5.2 GHz and 5.75 GHz. Then, path loss results were obtained for a comprehensive set of involved vehicle arrangements considering multiple transmission and reception antenna combinations at 5.9 GHz. The results suggest that, in future 5G V2V scenarios, the selection of the antenna combination providing the minimum path loss in a particular situation, could maximize the received signal level, thus playing an essential role in ensuring the best possible channel conditions for vehicular communications.","PeriodicalId":122391,"journal":{"name":"2018 IEEE Wireless Communications and Networking Conference Workshops (WCNCW)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130750922","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 : 2018-04-01DOI: 10.1109/WCNCW.2018.8369024
P. Casas
The number of smartphones connected to wireless networks and the volume of wireless network traffic generated by such devices have dramatically increased in the last few years, making it more challenging to tackle wireless network monitoring applications. The high-dimensionality of network data provided by current network monitoring systems opens the door to the massive application of Machine Learning (ML) approaches to improve different wireless networking applications. In this paper we evaluate and compare different ML models for the analysis of cellular network traffic, addressing two different and highly relevant problems linked to the end-users and the apps running on their smartphones: detection of anomalies generated by smartphone apps and prediction of Quality of Experience (QoE) for popular apps. We consider an extensive battery of ML models, including single models as well as ML ensembles such as bagging, boosting and stacking. Proposed models are evaluated using real cellular traffic measurements captured at operational networks and at the end devices. Results suggest that decision-tree based models are the most accurate to address these problems, and that collaborative models, in particular stacking ones, are capable to significantly increase performance and robustness of the analysis.
{"title":"Machine learning models for wireless network monitoring and analysis","authors":"P. Casas","doi":"10.1109/WCNCW.2018.8369024","DOIUrl":"https://doi.org/10.1109/WCNCW.2018.8369024","url":null,"abstract":"The number of smartphones connected to wireless networks and the volume of wireless network traffic generated by such devices have dramatically increased in the last few years, making it more challenging to tackle wireless network monitoring applications. The high-dimensionality of network data provided by current network monitoring systems opens the door to the massive application of Machine Learning (ML) approaches to improve different wireless networking applications. In this paper we evaluate and compare different ML models for the analysis of cellular network traffic, addressing two different and highly relevant problems linked to the end-users and the apps running on their smartphones: detection of anomalies generated by smartphone apps and prediction of Quality of Experience (QoE) for popular apps. We consider an extensive battery of ML models, including single models as well as ML ensembles such as bagging, boosting and stacking. Proposed models are evaluated using real cellular traffic measurements captured at operational networks and at the end devices. Results suggest that decision-tree based models are the most accurate to address these problems, and that collaborative models, in particular stacking ones, are capable to significantly increase performance and robustness of the analysis.","PeriodicalId":122391,"journal":{"name":"2018 IEEE Wireless Communications and Networking Conference Workshops (WCNCW)","volume":"37 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126699914","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 : 2018-04-01DOI: 10.1109/WCNCW.2018.8369037
T. Vu, Lei Lei, Satyanarayana Vuppala, S. Chatzinotas, B. Ottersten
In this paper, we investigate the energy efficiency performance of content delivery networks in which a data center serves multiple users via a shared wireless medium. Focusing on latency-tolerant applications, we propose energy-efficient precoding design and optimization that minimize the total energy consumption while guaranteeing some given quality of service constraints. In particular, an energy-buffering time trade-off (EBT) is derived in a closed-form expression for single-user scenarios, which reveals the impact of the key system parameters on the total energy consumption. We then formulate an energy minimization problem with a minimum mean square error (MMSE)-based precoding design for multiple-user scenarios. In order to overcome the non-convexity of the formulated problem, we propose an iterative algorithm which solves the problem suboptimally via a linear approximation of the non-convex constraint. Finally, numerical results are presented to demonstrate the effectiveness of the proposed solution.
{"title":"Energy-efficient design for latency-tolerant content delivery networks","authors":"T. Vu, Lei Lei, Satyanarayana Vuppala, S. Chatzinotas, B. Ottersten","doi":"10.1109/WCNCW.2018.8369037","DOIUrl":"https://doi.org/10.1109/WCNCW.2018.8369037","url":null,"abstract":"In this paper, we investigate the energy efficiency performance of content delivery networks in which a data center serves multiple users via a shared wireless medium. Focusing on latency-tolerant applications, we propose energy-efficient precoding design and optimization that minimize the total energy consumption while guaranteeing some given quality of service constraints. In particular, an energy-buffering time trade-off (EBT) is derived in a closed-form expression for single-user scenarios, which reveals the impact of the key system parameters on the total energy consumption. We then formulate an energy minimization problem with a minimum mean square error (MMSE)-based precoding design for multiple-user scenarios. In order to overcome the non-convexity of the formulated problem, we propose an iterative algorithm which solves the problem suboptimally via a linear approximation of the non-convex constraint. Finally, numerical results are presented to demonstrate the effectiveness of the proposed solution.","PeriodicalId":122391,"journal":{"name":"2018 IEEE Wireless Communications and Networking Conference Workshops (WCNCW)","volume":"39 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121312022","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 : 2018-04-01DOI: 10.1109/WCNCW.2018.8369010
L. Bajzik, T. Kárász, Zoltán Vincze, C. Vulkán, Wissal Ben Ameur, Z. Altman, V. Diascorn
Automation in operation and management of mobile networks is crucial for efficient handling of system complexity. Though Self-Organizing Networks (SON) successfully enhanced the automation of radio network operation, it is still not extended to mobile backhaul (MBH). However, the rigidity of the complex, heterogeneous MBH networks is a possible source of inefficient network operation or bad service quality considering the dynamic behavior of mobile network traffic. This paper introduces the highly flexible SON for MBH framework for applying SON in both SDN-ready and legacy MBH networks. The efficiency of the SON for MBH was evaluated in a joint Nokia-Orange program through extensive tests in realistic laboratory environment. The results showed significant improvement over traditional operation: due to the SON-MBH's optimization on average the system could transmit 31% more traffic in case of microwave link capacity degradation and 12% more in case of a link failure.
{"title":"SON for mobile backhaul","authors":"L. Bajzik, T. Kárász, Zoltán Vincze, C. Vulkán, Wissal Ben Ameur, Z. Altman, V. Diascorn","doi":"10.1109/WCNCW.2018.8369010","DOIUrl":"https://doi.org/10.1109/WCNCW.2018.8369010","url":null,"abstract":"Automation in operation and management of mobile networks is crucial for efficient handling of system complexity. Though Self-Organizing Networks (SON) successfully enhanced the automation of radio network operation, it is still not extended to mobile backhaul (MBH). However, the rigidity of the complex, heterogeneous MBH networks is a possible source of inefficient network operation or bad service quality considering the dynamic behavior of mobile network traffic. This paper introduces the highly flexible SON for MBH framework for applying SON in both SDN-ready and legacy MBH networks. The efficiency of the SON for MBH was evaluated in a joint Nokia-Orange program through extensive tests in realistic laboratory environment. The results showed significant improvement over traditional operation: due to the SON-MBH's optimization on average the system could transmit 31% more traffic in case of microwave link capacity degradation and 12% more in case of a link failure.","PeriodicalId":122391,"journal":{"name":"2018 IEEE Wireless Communications and Networking Conference Workshops (WCNCW)","volume":"878 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121055123","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 : 2018-04-01DOI: 10.1109/WCNCW.2018.8369004
A. Chiumento, B. Reynders, Yuri Murillo, S. Pollin
Bluetooth low energy (BLE) is on the way of becoming the next standard for low-power, low-datarate applications. While not being designed directly for mesh operation, recent works have shown that both connected and broadcasts mesh are possible, this latter one being ultimately included in the standard. For any robust operation in a connected BLE mesh network, especially for high reliability and low-latency operations like healthcare, the control parameters need to be carefully chosen in order to avoid congestion and packet loss but the relationships between controllable parameters and final network performance have not yet been investigated in BLE mesh networks. In this work, we show that it is possible to infer the relationships between the controllable and observable network parameters by using a mutual information based structure learning approach; we show, in fact, how each setting such as transmit power, connection interval, source rate, impact overall network performance figures of merit such as end-to-end delay, packet delivery ratio and network build time.
{"title":"Building a connected BLE mesh: A network inference study","authors":"A. Chiumento, B. Reynders, Yuri Murillo, S. Pollin","doi":"10.1109/WCNCW.2018.8369004","DOIUrl":"https://doi.org/10.1109/WCNCW.2018.8369004","url":null,"abstract":"Bluetooth low energy (BLE) is on the way of becoming the next standard for low-power, low-datarate applications. While not being designed directly for mesh operation, recent works have shown that both connected and broadcasts mesh are possible, this latter one being ultimately included in the standard. For any robust operation in a connected BLE mesh network, especially for high reliability and low-latency operations like healthcare, the control parameters need to be carefully chosen in order to avoid congestion and packet loss but the relationships between controllable parameters and final network performance have not yet been investigated in BLE mesh networks. In this work, we show that it is possible to infer the relationships between the controllable and observable network parameters by using a mutual information based structure learning approach; we show, in fact, how each setting such as transmit power, connection interval, source rate, impact overall network performance figures of merit such as end-to-end delay, packet delivery ratio and network build time.","PeriodicalId":122391,"journal":{"name":"2018 IEEE Wireless Communications and Networking Conference Workshops (WCNCW)","volume":"15 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117091545","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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