ECT: Exploiting Cross-Technology Concurrent Transmission for Reducing Packet Delivery Delay in IoT Networks

Wang, Wei; Xie, Tiantian; Liu, Xin; Zhu, Ting

doi:10.1109/infocom.2018.8486349

Cited by 36 publications

(13 citation statements)

References 23 publications

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“…Recently, a few works [5,[26][27][28] start focusing on the networking and application designs of CTC. ECT [28] leverages the raw ZigBee transmissions to encode and upload the high-priority data to WiFi. CRF [27] uses WiFi data to flooding ZigBee packets.…”

Section: Cross-technology Communication (Ctc)mentioning

confidence: 99%

Portal

Zheng

Xia

Guo

et al. 2020

Proceedings of the Twenty-First International Symposium on Theory, Algorithmic Foundations, and Protocol Design for Mobile Netw

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Opportunistic forwarding seizes early forwarding opportunities in duty-cycled networks to reduce delay and energy consumption. But increasingly serious Cross-Technology Interference (CTI) significantly counteracts the benefits of opportunistic forwarding. Existing solutions try to reserve the channel for low-power networks by implicit avoidance or explicit coordination but ignore the potential of highpower CTI's superior capability. In this paper, we propose a new paradigm for low-power opportunistic forwarding in CTI environments. Instead of keeping high-power CTI devices silent, we directly involve them into the forwarding, as cross-technology forwarders. We design Portal to solve the challenges of realizing cross-technology opportunistic forwarding. To be transparent to the low-power networks, Portal adopts cross-technology rebroadcasting to enable the fast overhearing and forwarding of cross-technology data. To maximize the performance gain of using heterogeneous forwarders while minimizing the influence on legacy high-power traffic, we propose a post-forwarding forwarder selection and a traffic scheduling method. We also propose a feature-based ACK recognition method and a jamming-based ACK replying mechanism to forward the unreliable ACKs from asymmetric regions. Extensive experiments demonstrate that Portal not only avoids the CTI but also breaks through the existing performance limit. CCS CONCEPTS • Networks → Network protocol design; Ad hoc networks; Routing protocols; • Computer systems organization → Sensor networks.

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Section: Cross-technology Communication (Ctc)mentioning

confidence: 99%

Portal

Zheng

Xia

Guo

et al. 2020

Proceedings of the Twenty-First International Symposium on Theory, Algorithmic Foundations, and Protocol Design for Mobile Netw

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“…Wang et al [1] to have an improvised spectral efficiency in the fields of medical, industry and scientific research by the exploitation of the cross layer technology in the process of transmission for having an improvisation in the packet delivery ratio and reduction in the delay incurred in the delivery. Lin et al [2] the method provides with the formation of the virtual cluster head to elude the performance degradation caused on the cluster head that turns out to be damaged during the transmission.…”

Section: Related Workmentioning

confidence: 99%

June 2019

2019

JISMAC

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The wireless sensor network that are randomly distributed with ability to communicate and to be communicated wirelessly appears to be vital part in the Internetwork of things to enable an autonomous communication between the visible commodities available in the tangible world. The process of the connection establishment between the WSNs and IOT for the purpose of information transmission is significant as it has to be reliable overcoming the challenges entitled in the wireless sensor networks. So the paper proposes an efficient clustering of WSN with a hierarchical proactive routing to have a transmission that affords within the limited battery availability and extended life of the network to have an improvised successful transmission rate, and diminished delay. The performance evaluation of the proposed system is conducted and compared with the previous methods to prove the energy efficiency and the QOS enhancements in terms of transmission rate and delay.

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“…For example, the beacon packets (which are sent for neighbor discovering purposes) from a WiFi AP are excellent reference signals. Since the beacon packets are sent periodically (e.g., every 100ms) and basically never change, the period parameter in IoT devices can be either manually set when deploying the system, or obtained by cross-technology communication technique (such as [9,10,19,34]) passively sensed and calculated (by using the searching algorithm proposed in [36]) for time synchronization without explicitly sending packets. However, when the traffic in the environment is high, capturing them is a non-trivial problem.…”

Section: Basic Aligning Approachmentioning

confidence: 99%

Ear

Chi

Yao

Xie

et al. 2018

Proceedings of the 16th ACM Conference on Embedded Networked Sensor Systems

Self Cite

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The exponentially increasing number of Internet-of-Thing (IoT) devices introduces a spectrum crisis in the shared ISM band. However, it also introduces opportunities for conducting radio frequency (RF) sensing using pervasively available signals generated by heterogeneous IoT devices. In this paper, we explore how to leverage the ambient wireless traffic that i) generated by uncontrollable IoT devices and ii sensed by ambient noise floor measurements (a widely available metric in IoT devices) for human gesture recognition. Specifically, we introduce our system EAR, which can conduct fine-grained human gesture recognition using coarse-grained measurements (i.e., noise floor) of ambient RF signals generated from uncontrollable signal sources. We conducted extensive evaluations in both residential and academic buildings. Experimental results show that although EAR uses coarse-grained noise floor measurements to sense the uncontrollable signal sources, the signal sources can be distinguished with an accuracy up to 99.76%. Moreover, EAR can recognize fine-grained human gestures with high accuracy even under extremely low traffic rate (i.e., 4%) from uncontrollable ambient signal sources.

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ECT: Exploiting Cross-Technology Concurrent Transmission for Reducing Packet Delivery Delay in IoT Networks

Cited by 36 publications

References 23 publications

Portal

Portal

June 2019

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