A multi-channel MAC for multi-hop wireless sensor networks minimizing hidden node collision

Murdiyat, Prihadi; Chan, Kit Ying

doi:10.1109/apcc.2016.7581458

Cited by 6 publications

(7 citation statements)

References 12 publications

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“…Most of the distributed multi-channel resource scheduling algorithms adopted the method of reserving resources in advance. In literature [29], a CSMA-based soft channel reservation algorithm was proposed. Afterwards, the idle channel selection method was improved in literature [30] by choosing the channel with the largest SNR strength as the optimal one.…”

Section: Related Workmentioning

confidence: 99%

Adaptive Resource Allocation Method Based on Deep Q Network for Industrial Internet of Things

Lai

Wang

et al. 2020

IEEE Access

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The transformation and upgrading of the industrial manufacturing field brings important development opportunities for the promotion and deployment of the Industrial Internet of Things (IIoT). How to connect huge number of IIoT nodes to the current IP-based Internet for promoting the integration of industrialization and informationization is a key issue towards IIoT. Targeting at the insufficiency that existing algorithms only support a single channel and utilize limited number of time slots, which results in the deteriorated performance for solving the problem of resource allocation for nodes with different priorities. In this paper the self-similarity of the observation data of the IIoT nodes is evaluated to dynamically prioritize the nodes, and then Deep Q Network (DQN) algorithm is adopted to design an adaptive resource allocation method that takes into account the characteristics of diverse node priorities. Simulation results demonstrate that the proposed method can effectively improve network throughput and reduce data transmission delay in comparison with existing methods. INDEX TERMS Industrial Internet of Things, deep Q network, resource allocation, priority.

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Section: Related Workmentioning

confidence: 99%

Adaptive Resource Allocation Method Based on Deep Q Network for Industrial Internet of Things

Lai

Wang

et al. 2020

IEEE Access

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“…Complex structured WSNs use a multi-hop network structure as a connection method. In such networks, as shown in Figure 1, the sensor nodes extend coverage of the network by communicating with each other [4], [5]. In multi-hop networks, the sensor nodes perform not only their own sensing tasks but also for its neighbor nodes the relay function.…”

Section: Introductionmentioning

confidence: 99%

A New Joining Algorithm for Multi-hop Non-mobile Wireless Sensor Networks

Çıbuk¹,

Ari²,

Aggun³

2021

European Journal of Technic

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“…Due to missing information on channel status, the pair of nodes may inadvertently choose a busy channel and start data exchange, causing a collision. Of the existing multi-channel MAC protocols, dedicated control channel-based [2,3] and time synchronization-based protocols [4,5] handle this issue effectively. The dedicated control channel protocols eliminate the multi-channel hidden terminal issue by having two transceivers, one for control signaling, and other for data transfer, and the nodes are aware of the neighbor activities all the time.…”

Section: Introductionmentioning

confidence: 99%

A Novel Spectrally Efficient Asynchronous Multi-Channel MAC Using a Half-Duplex Transceiver for Wireless Networks

Devendiran

Sheltami

Mahmoud

2018

JSAN

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Multi-channel medium access control (MAC) protocols maximize network performance by enabling concurrent wireless transmissions over non-interfering channels. Despite physical layer advancements, the underlying IEEE 802.11 MAC standard cannot fully exploit features and support high-performance applications. In this work, we propose the novel spectrally efficient asynchronous multi-channel MAC (SA-MMAC) protocol for wireless networks using a single half-duplex transceiver. A full-duplex mode of operation on data channels reduces the signaling overhead and boosts the spectrum efficiency. A revamped contention mechanism of IEEE 802.11 addresses the multi-channel hidden terminal problem, and a jamming signal from the receiver addresses the collisions in control signals. Furthermore, the control channel is used for data transmissions to increase the bandwidth utilization but under a restricted half-duplex mode to avoid causing a bottleneck situation. The simulator is tested for correctness. The results suggest that the protocol can work well on 3, 4, or 12 concurrent channels with high node density, providing about 12.5 times more throughput than IEEE 802.11 and 18% to 95% more throughput than its multi-channel variants under saturated traffic conditions.

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A multi-channel MAC for multi-hop wireless sensor networks minimizing hidden node collision

Cited by 6 publications

References 12 publications

Adaptive Resource Allocation Method Based on Deep Q Network for Industrial Internet of Things

Adaptive Resource Allocation Method Based on Deep Q Network for Industrial Internet of Things

A New Joining Algorithm for Multi-hop Non-mobile Wireless Sensor Networks

A Novel Spectrally Efficient Asynchronous Multi-Channel MAC Using a Half-Duplex Transceiver for Wireless Networks

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