Energy-Efficient Scheduling of Internet of Things Devices for Environment Monitoring Applications

Kim, Tae-Woon; Qiao, Daji; Choi, Wooyeol

doi:10.1109/icc.2018.8422174

Cited by 11 publications

(7 citation statements)

References 9 publications

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“…Integer programming is used to optimize the performance of IEEE 802.11ah in terms of energy efficiency [25], [26], throughput [27], [28], channel utilization [29] and hidden node mitigation [30], [31]. An integer nonlinear programming approach is employed for optimizing energy efficiency by taking into account traffic demands with even distribution of all RAW groups [25].…”

Section: Related Workmentioning

confidence: 99%

Enabling Wireless Closed Loop Communication: Optimal Scheduling Over IEEE 802.11ah Networks

2021

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Industry 4.0 is being enabled by a number of new wireless technologies that emerged in the last decade, aiming to ultimately alleviate the need for wires in industrial use cases. However, wireless solutions are still neither as reliable nor as fast as their wired counterparts. Closed loop communication, a representative industrial communication scenario, requires high reliability (over 99%) and hard real-time operation, having very little tolerance for delays. Additionally, connectivity must be provided over an entire industrial side extending across hundreds of meters. IEEE 802.11ah fits this puzzle in terms of data rates and range, but it does not guarantee deterministic communication by default. Its Restricted Access Window (RAW), a new configurable medium access feature, enables flexible scheduling in dense, large-scale networks. However, the standard does not define how to configure RAW. The existing RAW configuration strategies assume uplink traffic only and are dedicated exclusively to sensors nodes. In this article, we present an integer nonlinear programming problem formulation for optimizing RAW configuration in terms of latency in closed loop communication between sensors and actuators, taking into account both uplink and downlink traffic. The model results in less than 1% of missed deadlines without any prior knowledge of the network parameters in heterogeneous time-changing networks.INDEX TERMS IEEE 802.11ah, industrial Internet of Things (IIoT), optimization, restricted access window (RAW), Wi-Fi HaLow, wireless automation.

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Section: Related Workmentioning

confidence: 99%

Enabling Wireless Closed Loop Communication: Optimal Scheduling Over IEEE 802.11ah Networks

2021

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“…(Taewoon Kim, 2018) proposed energy efficient scheduling method (EESM) to overcome the energy hole problem. This is done by triggering the optimal node which tends in more accuracy and extensive explosion.…”

Section: Survey On Scheduling Based Techniquesmentioning

confidence: 99%

A Survey on Scheduling Based Mac Protocol for Congestion Minimization in Internet of Things (IoT)

Biswas¹

2021

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Recently, in Internet era the most common technology ubiquitous to develop smart environment is Internet of things (IoT) and Wireless Sensor Networks (WSNs).These technologies deployed enormously to formulate wide applications in area of Smart homes, Industrial automation, and security destined applications and information trailing. The huge development in wireless technology is due to great exploration in MEMS concept and Embedded Systems. Huge evolution in this technique leads to access different Medium Access Control (MAC) protocol and this protocol used to access multiple nodes peculiarly in wireless channel. The projected MAC protocol designed to enhance network lifetime. Essentially, the network leads to lot of congestion due to non-availability of IoT equipment and less available resources for various environmental applications. The simulated performance ensures that the conventional algorithm limits their dynamic service quality for IoT based applications. The above setbacks motivate the researches to develop the survey in existing scheduling based MAC protocol by highlighting their parameters.

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“…This procedure is mainly utilised to reduce the amount of transmissions and hence reduce the total energy consumption of the network. Their work is also inspired by similar techniques presented in [21]- [24].…”

Section: A Energy Efficiencymentioning

confidence: 99%

Unsupervised Learning Clustering and Dynamic Transmission Scheduling for Efficient Dense LoRaWAN Networks

et al. 2020

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Long-Range (LoRa) communication technology is considered as a promising connectivity solutions for Internet of Things (IoT) dense applications. In particular, LoRa has drawn the interest due to its low power consumption and wide area coverage. Despite the benefits of LoRaWAN protocol, it still suffers from excessive random and simultaneous transmissions due to the adoption of ALOHA protocol. Therefore, resulting in severe packet collision rate as the network scales up. This leads to continuous retransmission attempts, which in return increase the transmission delay and energy consumption. Thus, this paper proposes a dynamic transmission Priority Scheduling Technique (PST) based on the unsupervised learning clustering algorithm to reduce the packet collision rate and enhance the network's transmission delay and energy consumption. Particularly, the LoRa gateway classifies the nodes into different transmission priority clusters. While the dynamic PST allows the gateway to configure the transmission intervals for the nodes according to the transmission priorities of the corresponding clusters. This work allows scaling up the network density while maintaining low packet collision rate and significantly enhances the transmission delay & the energy consumption. Simulation results show that the proposed work outperforms the typical LoRaWAN and recent clustering & scheduling schemes. Therefore, the proposed work is well suited for dense applications in LoRaWAN.

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Energy-Efficient Scheduling of Internet of Things Devices for Environment Monitoring Applications

Cited by 11 publications

References 9 publications

Enabling Wireless Closed Loop Communication: Optimal Scheduling Over IEEE 802.11ah Networks

Enabling Wireless Closed Loop Communication: Optimal Scheduling Over IEEE 802.11ah Networks

A Survey on Scheduling Based Mac Protocol for Congestion Minimization in Internet of Things (IoT)

Unsupervised Learning Clustering and Dynamic Transmission Scheduling for Efficient Dense LoRaWAN Networks

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