Abstract

The IEEE 802.15.4e standard is an amendment of the IEEE 802.15.4-2011 protocol by introducing time-slotted channel hopping access behavior mode. However, the IEEE 802.15.4e only defines time-slotted channel hopping link-layer mechanisms without an investigation of network formation and communication scheduling which are still open issues to the research community. This article investigates the network formation issue of the IEEE 802.15.4e time-slotted channel hopping networks. In time-slotted channel hopping networks, a joining node normally takes a long time period to join the network because the node has to wait until there is at least one enhanced beacon message advertised by synchronized nodes (synchronizers) in the network on its own synchronization channel. This leads to a long joining delay and high energy consumption during the network formation phase, especially so in highly dynamic networks in which nodes join or rejoin frequently. To enable a rapid time-slotted channel hopping network formation, this article proposes a new design for slotframe structure and a novel adaptive joining scheme based on fuzzy logic. Our proposed scheme enables a synchronizer to be able to adaptively determine an appropriate number of enhanced beacons it should advertise, based on the number of available synchronizers in the network, so that joining nodes can achieve a short joining time while energy consumption of enhanced beacon advertisement at the synchronizers is optimized. Through extensive mathematical analysis and experimental results, we show that the proposed scheme achieves a significant improvement in terms of joining delay compared to state-of-the-art studies.

Highlights

  • Nowadays, the Internet of Things (IoT)[1] has become more and more popular and has been applied in various areas such as human life, environmental monitoring, and industrial sector

  • We propose a novel joining scheme based on fuzzy logic, which allows a synchronizer to adapt its enhanced beacons (EBs) advertisement operation based on the number of available synchronizers in network to achieve a short joining time in all cases and optimize energy consumption

  • We compare the experimental results of the adaptive scheme using fuzzy logic with the original one (NEBs = 5) and random vertical filling (RV) algorithm

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Summary

Introduction

The Internet of Things (IoT)[1] has become more and more popular and has been applied in various areas such as human life, environmental monitoring, and industrial sector. As most tasks in such an environment require real-time or low-delay communication, a fast joining scheme is desirable to avoid data transmission or interaction interrupted In another example, high interference scenario, which is quite popular in industrial environments, may lead to intermittent or lossy connections at sensor nodes.[14] In TSCH networks, a node typically uses advertisement (ADV)-based and keep-alive (KA)-based scheme to advertise EB and KA packets, respectively, for maintaining synchronization.[15] Under a high interference environment, if these packets are lost, related nodes may suffer from de-synchronization. 2. We propose a novel joining scheme based on fuzzy logic, which allows a synchronizer to adapt its EB advertisement operation based on the number of available synchronizers in network to achieve a short joining time in all cases and optimize energy consumption. It becomes a synchronizer and continuously broadcasts EBs to extend the network as well as maintain network synchronization

Related work
Á N Á NEBs
Discussion
Conclusion

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