PREED: Packet REcovery by Exploiting the Determinism in Industrial WSN Communication

Barać, Filip; Gidlund, Mikael; Zhang, Tingting

doi:10.1109/dcoss.2015.8

Cited by 5 publications

(7 citation statements)

References 14 publications

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“…On the other hand, [173] derives experimental based models by using curve fitting techniques and validation through extensive experiments. An adaptive algorithm was also proposed to adjust the coefficients of these models by introducing a learning phase without any explicit information about data traffic, network topology, and Contention-based Access [212], [213], [175], [174], [214], [129], [84], [107], [215], [173], [125] [166], [202], [194], [195], [216], [196], [217] [204], [211], [206], [207], [208], [209], [210] Schedule-based Access [126], [127], [176], [177], [178] [4], [190], [203], [202], [192], [193] [81], [218], [205], [62], [83] Physical Layer Extension [6], [87], [183], [219], [220], [221] --Network Resource Schedule Scheduling Algorithm …”

Section: Requirements System Parameters Scenarios Evaluation Communicmentioning

confidence: 99%

“…Model-based parameter optimization mainly use theoretical or experimental-based derivations of the probability distribu- [125] 1-hop the/sim [173] 1-hop the/exp [129] 1-hop the/exp [174] 1-hop the/sim [175] multihop the/sim [126] 1-hop the/sim/exp [127] 1-hop the/sim/exp [176] 1-hop the [177] 1-hop sim [178] 1-hop exp [86] multihop the/sim [179] multihop the/sim [180], [181] multihop the/sim [182] multihop the/sim/exp [183] multihop the/exp [184] 1-hop the/sim [185] multihop the/exp [186] 1-hop the/sim/exp [87] 1-hop the/sim [187] multihop the/sim/exp [188] multihop the/sim [141], [142] multihop the/sim [138] multihop the/sim [6] 1-hop the/sim [102] multihop the/sim [18] multihop the/exp [189] multihop the/sim/exp [4] 1-hop the/sim [190] 1-hop the/sim [66] multihop the/sim [191] multihop the/sim [192], [193] 1-hop the/sim/exp [194], [195], [196] 1-hop the/sim [63] multihop sim/exp [197] multihop sim [107] 1-hop the/sim/exp [198] multihop the/sim…”

Section: A Interactive Design Approachmentioning

confidence: 99%

“…Disjoint Path [138], [140] --Graph [141], [142], [113], [200] [63] -Controlled Flooding [188], [222] --Energy/QoS-aware [18], [128], [197], [ Physical Layer [183], [219], [220] --Contention [212], [213], [175], [174], [84], [107], [186] [166] -Hybrid -- [81], [218], [83] WirelessHART Schedule [198], [179], [187], [199], [180], [182], [181] [191], [66], [189] -Routing [141], [142], [113], [200], [188], [222] [63] -802.11 Contention [125], [128] [195], [196] -Schedule [126], [127], [176], [177], …”

Section: Network Routingmentioning

confidence: 99%

“…Although explicit scheduling is used to prevent various types of conflict and contention, still transmission failures may occur due to multipath fading and external interference in harsh and unstable environments. Some of the retransmission mechanisms have been introduced at the link layer [183], [219], [220]. Since schedule is known apriori by the nodes in the network, the retransmissions can be minimized by exploiting the determinism in the packet headers to recover the unknown bytes of the header [183].…”

Section: Network Routingmentioning

confidence: 99%

“…Some of the retransmission mechanisms have been introduced at the link layer [183], [219], [220]. Since schedule is known apriori by the nodes in the network, the retransmissions can be minimized by exploiting the determinism in the packet headers to recover the unknown bytes of the header [183]. Moreover, various efficient retransmission procedures can be used to minimize the number of bits in the retransmissions [219], [220].…”

Section: Network Routingmentioning

confidence: 99%

See 4 more Smart Citations

Wireless Network Design for Control Systems: A Survey

Park

Coleri

Fischione

et al. 2018

IEEE Commun. Surv. Tutorials

379

280

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Abstract-Wireless networked control systems (WNCS) are composed of spatially distributed sensors, actuators, and controllers communicating through wireless networks instead of conventional point-to-point wired connections. Due to their main benefits in the reduction of deployment and maintenance costs, large flexibility and possible enhancement of safety, WNCS are becoming a fundamental infrastructure technology for critical control systems in automotive electrical systems, avionics control systems, building management systems, and industrial automation systems. The main challenge in WNCS is to jointly design the communication and control systems considering their tight interaction to improve the control performance and the network lifetime. In this survey, we make an exhaustive review of the literature on wireless network design and optimization for WNCS. First, we discuss what we call the critical interactive variables including sampling period, message delay, message dropout, and network energy consumption. The mutual effects of these communication and control variables motivate their joint tuning. We discuss the effect of controllable wireless network parameters at all layers of the communication protocols on the probability distribution of these interactive variables. We also review the current wireless network standardization for WNCS and their corresponding methodology for adapting the network parameters. Moreover, we discuss the analysis and design of control systems taking into account the effect of the interactive variables on the control system performance. Finally, we present the state-of-the-art wireless network design and optimization for WNCS, while highlighting the tradeoff between the achievable performance and complexity of various approaches. We conclude the survey by highlighting major research issues and identifying future research directions.

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