EAPS: Edge-Assisted Predictive Sleep Scheduling for 802.11 IoT Stations

Sheth, Jaykumar; Miremadi, Cyrus; Dezfouli, Amir; Dezfouli, Behnam

doi:10.1109/jsyst.2021.3063922

Cited by 4 publications

(1 citation statement)

References 28 publications

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“…In particular, we focus on IEEE 802.11, one of the wireless communication methods of the IoT protocol [19]. With the widespread use of IEEE 802.11 communication modules, module costs have been significantly reduced, and various IoT devices now incorporate IEEE 802.11 compliant communication modules [20], [21]. In addition, since the data rate of IEEE 802.11 is higher than that of other IoT wireless systems, it is possible to handle a wide range of data, from small data such as physical sensors to large-capacity data such as high-definition video.…”

Section: Proposal a Low-layer Metadata Collectionmentioning

confidence: 99%

Proposal for Low-Layer Metadata Collection Technology to Enhance IoT Metadata Utilization

et al. 2023

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With the rapid spread of Internet of Things (IoT) services, the number of sensor devices has exploded, and the complexity of managing sensor devices has become a problem. To solve this problem, a metadata-based approach that uses the unique environmental information associated with each device for its management is being developed. This paper focuses on metadata collection for device management and control, and proposes a new collection method that uses low-layer communication while not modifying the existing protocol. Our proposal utilizes the extended area of the probe request (PRQ) frame of IEEE 802.11, which is a layer-2 protocol, to collect metadata. This makes it possible to achieve stable operation even on inexpensive and resource-limited IoT devices, and to realize metadata collection with low communication overhead and power consumption. It is shown to reduce the load on the central processing unit (CPU) and reduce power consumption compared to Internet Protocol (IP) -based metadata collection (layer-3 protocol and above). In addition, in terms of time sensitivity, the collection delay at the time of rising from deep sleep is reduced by 89.8% compared to IP-based techniques. Furthermore, as a benefit of low-layer collection, it enables periodic metadata collection in the background regardless of network connection above the IP layer. To demonstrate this benefit, an example of applying metadata collection to device management is prototyped and its feasibility is experimentally confirmed.

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Section: Proposal a Low-layer Metadata Collectionmentioning

confidence: 99%

Proposal for Low-Layer Metadata Collection Technology to Enhance IoT Metadata Utilization

et al. 2023

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Leveraging Frame Aggregation in Wi-Fi IoT Networks for Low-Rate DDoS Attack Detection

Tushir

Liu

Dezfouli

2022

Network and System Security

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Scalable internet of things network design using multi-hop IEEE 802.11ah

Ahmed

Hussain

2021

Telecommun Syst

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The emerging IEEE 802.11ah is a promising communication standard for large-scale networks particularly the Internet of Things (IoT). The singlechannel-based centralized channel access mechanism employed in 802.11ah does not scale well in such networks and leads to poor data reception quality. In this paper, we propose a multi-band sectorization and dynamic load balancing scheme for improving scalability. These features facilitate multi-hop communication more efficiently and enhance network capacity. Traffic congestion issues prevailing around the access point node due to the large volume of uplink traffic is mitigated by allowing simultaneous transmission using multiple orthogonal channels and sectors. Simulation and analytical results establish the essence of the novel protocol by showing significant improvements in terms of throughput and average packet delay over the existing schemes. The proposed network architecture improves throughput and delay performance up to 150% and 100% respectively compared to the relevant schemes.IEEE 802.11ah-based large-scale Internet of Things (IoT) provides poor network performance due to long communication range and higher delay in multi-hop transmission. As it uses a single channel, only one node in the network is allowed to transmit at a particular time. In a network with a large number of relay nodes and multi-hop links, uplink traffic forwarded by the end

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EAPS: Edge-Assisted Predictive Sleep Scheduling for 802.11 IoT Stations

Cited by 4 publications

References 28 publications

Proposal for Low-Layer Metadata Collection Technology to Enhance IoT Metadata Utilization

Proposal for Low-Layer Metadata Collection Technology to Enhance IoT Metadata Utilization

Leveraging Frame Aggregation in Wi-Fi IoT Networks for Low-Rate DDoS Attack Detection

Scalable internet of things network design using multi-hop IEEE 802.11ah

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