Abstract

Time Slotted Channel Hopping (TSCH) is one of the five access behavior technologies defined in the IEEE 802.15.4e standard. Research shows that the wireless sensor network with single dynamic and static channel allocation in TSCH mode has higher performance. The clogging rate results in unnecessary energy waste. Therefore, this paper proposes an adaptive hybrid channel allocation strategy (AHCA) to measure the link quality change of wireless sensor networks in TSCH mode. The strategy estimates the part of the channel quality and determines whether the node wants to transmit on this channel and the optimal channel for node information transmission. According to the change of the amount of information transmitted, the hybrid channel allocation scheme of the dynamic and static channel ratio is adaptively adjusted to reduce the energy consumption of the information transmission process. This article performs experimental simulation on Contiki-NG. The experimental results show that the proposed scheme has shorter transmission time and lower congestion rate than the single dynamic static channel allocation wireless sensor network. The more reasonable and effective measurement, analysis and use of channel resources can fundamentally increase the amount of information transfer in wireless sensor networks per unit time, and thus extend the lifetime of wireless sensor networks.

Highlights

  • With the emergence of emerging industrial Internet of Things application scenarios on a large scale, IEEE 802.15.4 is no longer able to cope with these new scene requirements

  • Wireless sensor network (WSN) due to low cost and flexibility so is better than that of wired networks in nature, but the wireless sensor network has low reliability, because the information transmission process prone to conflicts and external disturbance, and the pattern of Time Slotted Channel Hopping (TSCH) IEEE 802.15.4e using channel hopping technology against interference and selective fading channel, the channel by channel frequency hopping and proper scheduling, which improve the reliability of information transmission

  • Lines 6-10 show that when the amount of information is less than a certain value, the information between nodes is transferred in the dynamic channel, and lines 12-16 show that when the amount of information between nodes is greater than a certain value, it is transferred in the static channel

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Summary

Introduction

With the emergence of emerging industrial Internet of Things application scenarios on a large scale, IEEE 802.15.4 is no longer able to cope with these new scene requirements. In the case of serious interference, the standard TSCH does not have enough scheduling slots to reliably transmit all data packets, while the adaptive approach makes the system more reliable, in which PRR-based channel quality assessment and downstream driver channel selection show the best results These methods in the literature have balanced the node load and network energy in a sense, they can only partially reduce the occurrence of partial congestion in the network and partially reduce the transmission time of information in the network. On the basis of predecessors, in this paper, a scheme combining adaptive scheduling and hybrid channel allocation is proposed to reduce the end-to-end delay time of information in the channel, reduce the channel congestion rate, and increase the reliability and duty ratio of information transmission in wireless sensor networks under the circumstances of high-interference environment and frequent communication connection changes. When the amount of information is A, the optimal channel allocation ratio Y can be achieved, so the number of channels needs to be allocated at any time according to the change of the amount of information to achieve the optimal channel allocation ratio, and the optimal channel allocation ratio can reduce the collision between channels, thereby reducing the energy consumption of nodes and increasing the life of wireless sensor networks

AHCA algorithm mechanism
Findings
Conclusions and future work
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