Group-based contention in IEEE 802.11ah networks

Seo, Jeong-O; Nam, Changwon; Yoon, Sung-Guk; Bahk, Saewoong

doi:10.1109/ictc.2014.6983265

Cited by 16 publications

(9 citation statements)

References 1 publication

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“…The protocol of RAW prevents data packet transmissions from overlapping among the number of contending stations, and the problem of hidden node is alleviated by restricting the duration that a contending station is allowed to initiate transmission. This is why RAW requires to use groupbased contention strategies [21].…”

Section: Restricted Access Window (Raw)mentioning

confidence: 99%

Pseudorandom sequence contention algorithm for IEEE 802.11ah based internet of things network

et al. 2020

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The IEEE 802.11ah standard relies on the conventional distributed coordination function (DCF) as a backoff selection method. The DCF is utilized in the contention-based period of the newly introduced medium access control (MAC) mechanism, namely restricted access window (RAW). Despite various advantages of RAW, DCF still utilizes the legacy binary exponential backoff (BEB) algorithm, which suffers from a crucial disadvantage of being prone to high probability of collisions with high number of contending stations. To mitigate this issue, this paper investigates the possibility of replacing the existing exponential sequence (i.e., as in BEB) with a better pseudorandom sequence of integers. In particular, a new backoff algorithm, namely Pseudorandom Sequence Contention Algorithm (PRSCA) is proposed to update the CW size and minimize the collision probability. In addition, the proposed PRSCA incorporates a different approach of CW freezing mechanism and backoff stage reset process. An analytical model is derived for the proposed PRSCA and presented through a discrete 2-D Markov chain model. Performance evaluation demonstrates the efficiency of the proposed PRSCA in reducing collision probability and improving saturation throughput, network throughput, and access delay performance.

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Section: Restricted Access Window (Raw)mentioning

confidence: 99%

Pseudorandom sequence contention algorithm for IEEE 802.11ah based internet of things network

et al. 2020

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“…Additionally, there have been suggestions to further increase the power efficiency and high density access. Improved offset listen intervals for smart grid communication [27], [28], optimized sleep modes [29], and grouping strategies for dense IEEE 802.11ah networks [30], [31], [32] have been in the research focus recently.…”

Section: B the Ieee 80211ah Macmentioning

confidence: 99%

Outdoor Long-Range WLANs: A Lesson for IEEE 802.11ah

Aust

Prasad

Niemegeers

2015

IEEE Commun. Surv. Tutorials

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Several service applications have been reported by many, who proposed the use of wireless LANs (WLANs) over a wide variety of outdoor deployments. In particular, the upcoming IEEE 802.11ah WLAN protocol will enable a longer transmission range between WLAN access points (APs) and stations (STAs) up to multiple kilometers using carrier frequencies at 900 MHz. However, limitations of WLAN outdoor installations have been found of the plethora of WLAN protocols in experimental studies. This article summarizes the challenges and provides a comprehensive overview of suggested improvements. As the standardization of the IEEE 802.11ah is reaching its final stage, important protocol aspects as well as new features are to be outlined. Interference problems and issues with the WLAN configuration, the physical layer (PHY), and media access control (MAC) are of paramount importance in outdoor WLAN networks; thus, are discussed in detail. Further, we examine the reported upper boundaries in throughput and link reliability of long-range WLANs in different environments, including seasurfaces, unmanned aerial vehicles (UAVs) and tunnels. At the end of this study, we reflect on the major issues regarding sub-1 GHz (S1G) WLANs and propose avenues for further research.Index Terms-WLAN, IEEE 802.11ah, wireless sensor, sub-1 GHz, long-range, outdoor.

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“…However, the IEEE 802.11ah standard does not provide any guidelines for the group size. In this regard, the authors in [11] provided an expression to find the optimum group size on the basis of the number of active stations per group, traffic arrival rate, and the beacon interval. Nevertheless, in most of the existing solutions, devices are randomly assigned to different groups, and less attention has been given to the formation of efficient and reliable groups.…”

Section: B Related Workmentioning

confidence: 99%

Device Grouping for Fast and Efficient Channel Access in IEEE 802.11ah Based IoT Networks

Bhandari

Sharma

Wang

2018

2018 IEEE International Conference on Communications Workshops (ICC Workshops)

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The recent advances in Internet of Things (IoT) have led to numerous emerging applications ranging from eHealthcare to industrial control, which often demand stringent Quality of Service (QoS) requirements such as low-latency and high system reliability. However, the ever-increasing number of connected devices in ultra-dense IoT networks and the dynamic traffic patterns increase the channel access delay and packet collision rate. In this regard, this paper proposes a sectorbased device grouping scheme for fast and efficient channel access in IEEE 802.11ah based IoT networks such that the total number of the connected devices within each sector is dramatically reduced. In the proposed framework, the Access Point (AP) divides its coverage area into different sectors, and then each sector is further divided into distinct groups based on the number of devices and their location information available from the cloud-center. Subsequently, individual groups within a sector are assigned to specific Random Access Window (RAW) slots, and the devices within distinct groups in different sectors access the allocated RAW slots by employing a spatial orthogonal access mechanism. The performance of the proposed sectorized device grouping scheme has been analyzed in terms of system delay and network throughput. Our simulation results show that the proposed scheme can significantly enhance the network throughput while simultaneously decreasing the system delay as compared to the conventional Distributed Coordination Function (DCF) and IEEE 802.11ah grouping scheme.

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Group-based contention in IEEE 802.11ah networks

Cited by 16 publications

References 1 publication

Pseudorandom sequence contention algorithm for IEEE 802.11ah based internet of things network

Pseudorandom sequence contention algorithm for IEEE 802.11ah based internet of things network

Outdoor Long-Range WLANs: A Lesson for IEEE 802.11ah

Device Grouping for Fast and Efficient Channel Access in IEEE 802.11ah Based IoT Networks

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