Analysis of Internet Protocol Based Multicast on Duty-Cycled Wireless Sensor Networks

Carlier, Matthias; Algora, Carlos M. Garcia; Braeken, An; Steenhaut, Kris

doi:10.1109/jsen.2018.2820184

Cited by 9 publications

(9 citation statements)

References 11 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…As shown in the paper proposing BMRF [ 8 ], the RDC protocol used in the network can have a big impact on the performance of multicast protocols. The paper has a detailed evaluation of the delay caused by BMRF when using ContikiMAC as it was implemented in Contiki 2.6.…”

Section: Related Workmentioning

confidence: 99%

Time Slotted Channel Hopping and ContikiMAC for IPv6 Multicast-Enabled Wireless Sensor Networks

Teshome

Deac

Thielemans

et al. 2021

Sensors

Self Cite

View full text Add to dashboard Cite

Smart buildings benefit from IEEE 802.15.4e time slotted channel hopping (TSCH) medium access for creating reliable and power aware wireless sensor and actuator networks (WSANs). As in these networks, sensors are supposed to communicate to each other and with actuators, IPv6 multicast forwarding is seen as a valuable means to reduce traffic. A promising approach to multicast, based on the Routing Protocol for Low Power and Lossy Networks (RPL) is Bidirectional Multicast RPL Forwarding (BMRF). This paper aimed to analyze the performance of BMRF over TSCH. The authors investigated how an adequate TSCH scheduler can help to achieve a requested quality of service (QoS). A theoretical model for the delay and energy consumption of BMRF over TSCH is presented. Next, BMRF’s link layer (LL) unicast and LL broadcast forwarding modes were analyzed on restricted and realistic topologies. On topologies with increased interference, BMRF’s LL broadcast on top of TSCH causes high energy consumption, mainly because of the amount of energy needed to run the schedule, but it significantly improves packet delivery ratio and delay compared to ContikiMAC under the same conditions. In most cases, the LL unicast was found to outperform the LL broadcast, but the latter can be beneficial to certain applications, especially those sensitive to delays.

show abstract

Section: Related Workmentioning

confidence: 99%

Time Slotted Channel Hopping and ContikiMAC for IPv6 Multicast-Enabled Wireless Sensor Networks

Teshome

Deac

Thielemans

et al. 2021

Sensors

Self Cite

View full text Add to dashboard Cite

show abstract

“…Carlier et al [16] have presented algorithm channel check rate for optimising transmission delay that overcomes the effect of LL transmission mode. A novel dynamic switching-based reliable flooding framework has effectively reduced the flooding delay in low-duty-cycle WSNs is proposed by Cheng et al [17].…”

Section: Related Workmentioning

confidence: 99%

Algorithm for energy consumption minimisation in wireless sensor network

2020

View full text Add to dashboard Cite

“…If this method is used when the node density is high, the message cannot be forwarded directly and still needs to be sent to this point through sibling nodes, which cannot meet the requirement of reducing delay. In Wireless Sensor Networks, Carlier et al [17] concluded by analysis that for low power and lossy networks, many internet protocols rely on the routing tree obtained based multicast. This conclusion points out one part of many wireless routing protocols which should be improved.…”

Section: Related Workmentioning

confidence: 99%

A Smart Collaborative Routing Protocol for Delay Sensitive Applications in Industrial IoT

Zhu

Liu

Wang³

et al. 2020

IEEE Access

View full text Add to dashboard Cite

In the industrial Internet of things (IIoT), there is always a strong demand for real-time information transfer. Especially when deploying wireless/wired hybrid networks in smart factories, the requirement for low delay interaction is more prominent. Although tree routing protocols have been successfully executed in simple networks, more challenges in transmission speed can be observed in the manufacturing broadband communication system. Motivated by the progresses in deep learning, a smart collaborative routing protocol with low delay and high reliability is proposed to accommodate mixed link scenarios. First, we establish a one-hop delay model to investigate the potential affects of Media Access Control (MAC) layer parameters, which supports the subsequent design. Second, forwarding, maintenance, and efficiency strategies are created to construct the basic functionalities for our routing protocol. Relevant procedures and key approaches are highlighted as well. Third, two sub-protocols are generated and the corresponding implementation steps are described. The experimental results demonstrate that the end-to-end delay can be effectively cut down through comprehensive improvements. Even more sensor nodes and larger network scale are involved, our proposed protocol can still illustrate the advantages comparing with existing solutions within IIoT. INDEX TERMS Industrial IoT, deep learning, routing protocol, tree topology, delay.

show abstract

Analysis of Internet Protocol Based Multicast on Duty-Cycled Wireless Sensor Networks

Cited by 9 publications

References 11 publications

Time Slotted Channel Hopping and ContikiMAC for IPv6 Multicast-Enabled Wireless Sensor Networks

Time Slotted Channel Hopping and ContikiMAC for IPv6 Multicast-Enabled Wireless Sensor Networks

Algorithm for energy consumption minimisation in wireless sensor network

A Smart Collaborative Routing Protocol for Delay Sensitive Applications in Industrial IoT

Contact Info

Product

Resources

About