IEEE 802.11AH: the WiFi approach for M2M communications

Adame, Toni; Bel, Albert; Bellalta, Boris; Barceló, Jaume; Oliver, Miquel

doi:10.1109/mwc.2014.7000982

Cited by 232 publications

(163 citation statements)

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“…Considering oncoming IEEE 802.11ah (a.k.a. Wi-Fi HaLow) standard that enables low power connectivity [2], the protocol stack matching between user handheld device with DASCo player and IoT objects spans from the application layer to the data link layer (in case of 802.15.4 sensors, their interoperability with user device is usually provided through layer 2 gateways located at the edge of the wireless sensor network).…”

Section: Adaptive Streaming In Iot Scenariomentioning

confidence: 99%

DASCo: dynamic adaptive streaming over CoAP

Krawiec

Sosnowski

Batalla

et al. 2017

Multimed Tools Appl

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This paper presents the Dynamic Adaptive Streaming over CoAP (DASCo), a solution for adaptive media streaming in the Internet of Things (IoT) environment. DASCo combines DASH (Dynamic Adaptive Streaming over HTTP), the widespread open standard for HTTP-compliant streaming, with Constrained Application Protocol (CoAP), the vendorindependent web transfer protocol designed for resource-constrained devices. The proposed solution uses DASH formats and mechanisms to make media segments available for consumers, and exploits CoAP to deliver media segments to consumers' applications. Consequently, the DASCo player offers native interoperability with IoT devices that are accessed via CoAP, thus it allows easy access to data collected by different sensors in order to enrich the multimedia services. In the paper we present an overview of constraints of default CoAP implementation with respect to media streaming, and propose guidelines for development of adaptive streaming service over CoAP. Moreover, we discuss the features of CoAP that can be investigated when designing an efficient adaptive algorithm for DASCo. Presented experimental results show poor performance of DASCo when default values of CoAP transmission parameters have been used. However, adjusting the parameters according to the network conditions considerably improves DASCo efficiency. Furthermore, in bad network conditions the enhanced DASCo is characterized by a more stable download rate compared to DASH. This feature is important in the context of dynamic media adaptation, since it allows an adaptation algorithm to better fit media bit rate with download conditions.

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Section: Adaptive Streaming In Iot Scenariomentioning

confidence: 99%

DASCo: dynamic adaptive streaming over CoAP

Krawiec

Sosnowski

Batalla

et al. 2017

Multimed Tools Appl

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“…RAW membagi station yang terhubung pada access point menjadi beberapa group dan membuat kanal menjadi terbagi atas beberapa slot, kemudian menempatkan setiap slot pada setiap group. Setiap RAW dapat terdiri atas beberapa group dan setiap group dapat mengelola hingga 64 station [3].…”

Section: Abstract-rapidunclassified

“…Secara umum, kanal yang biasa digunakan standar 802.11ah adalah 1 MHz dan 2 MHz, sehingga layer fisik dapat diklasifikasikan ke dalam dua kategori, yaitu mode transmisi dengan kanal bandwidth ≥ 2 MHz dan mode transmisi dengan kanal bandwidth 1 MHz. Saat beroperasi pada frekuensi rendah dan bandwidth yang kecil, access point dimungkinkan untuk mentransmisikan data pada range yang lebih panjang (hingga 1 km) dan juga dengan konsumsi daya yang jauh lebih rendah, dibandingkan dengan teknologi Wi-Fi yang biasanya beroperasi pada frekuensi bandwidth 2,4 GHz dan 5 GHz [3].…”

Section: B Lapis Fisik (Phy) 80211ahunclassified

“…Modulasi yang didukung pada standar 802.11ah mencakup BPSK, QPSK, dan 16--256 QAM. Untuk pengklasifikasian data rate dan bandwidth, IEEE 802.11ah menggunakan beberapa bentuk modulation and coding schemes (MCSs) dan durasi guard interval (GI) [3], [10]. Untuk mempermudah pengoperasian jumlah station yang cukup besar, IEEE 802.11ah mengelompokkan station-station dengan menggunakan association identifier (AID) yang berdasar pada empat tingkatan struktur, seperti yang ditunjukkan pada Gbr.…”

Section: B Lapis Fisik (Phy) 80211ahunclassified

“…Untuk memenuhi tantangan tersebut, IEEE merancang sebuah standardisasi baru untuk jaringan nirkabel, yaitu IEEE 802.11ah, yang dapat mendukung jaringan dengan banyaknya jumlah peranti yang terhubung, area cakupan yang besar, serta keterbatasan energi yang dikonsumsi. Dalam penggunaannya, standar IEEE 802.11ah dapat memenuhi kebutuhan yang digunakan pada standar Machine to Machine (M2M), seperti dalam bidang metering and control utilities, eHealth, surveillance, home and industrial automation, dan intelligent transport system [3].…”

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Analisis Unjuk Kerja Perubahan Jumlah Node dan RAW Station pada IEEE 802.11ah

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Abstract-Rapid [4]. RAW membagi station yang terhubung pada access point menjadi beberapa group dan membuat kanal menjadi terbagi atas beberapa slot, kemudian menempatkan setiap slot pada setiap group. Setiap RAW dapat terdiri atas beberapa group dan setiap group dapat mengelola hingga 64 station [3].Wireless access network merupakan jaringan yang besteffort dalam pengiriman paketnya. Akan tetapi, layanan yang

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5G and Cellular Networks in the Smart Grid

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Figure 1.1.1 Smart city architecture. key areas of the cities, such as power grids, water and underground systems, oil and gas pipelines, railways, roads, schools, hospitals, stations, airports, and so on. The application areas of the smart city are diverse, and they connect every corner of the city to the Internet. This provides global intelligence over the management, and it paves the road for "Internet + Internet of things = smart planet" (Zhang et al., 2010). The smart city is the application of the concept of the smart planet to a specific region. The surveillance of infrastructure and environments of the city with the help of sensor technology achieves intelligent urban management and services (Su et al., 2010). The features of the smart city provide development of efficient urban strategies such as construction of smart homes, wireless cities, and smart transportation systems (Su et al., 2010). The use of IoT to realize the smart city vision brings important challenges. With IoT technology, it is estimated that the number of devices connected to Internet will reach to 16 billion in 2020 (EU, 2010). Due to this increase, wireless data traffic that is being fulfilled in cities will reach excessive levels, and the available spectrum will become scarcer. Ever-growing demand in wireless communications has also increased the spectrum scarcity problem. Furthermore, fixed allocation of the spectrum worsens the problem of inefficient spectrum use. While the licensed spectrum bands are underutilized, the unlicensed ones are crowded, and the wireless communication is no longer feasible in these bands. To overcome the spectrum inefficiency and scarcity problems, CR technology is proposed (Mitola and Maguire, 1999). CR-capable wireless devices can access the licensed spectrum bands opportunistically and hence increase the spectrum utilization efficiency (Haykin, 2008). On the other hand, wireless nodes in these systems are resource constrained. Even though the majority of sensor nodes have duty cycling, a conventional battery in a sensor node depletes in less than a year. Therefore, an auxiliary or even a completely distinct source, such as heat, light, motion, and electromagnetic (EM) waves must be exploited to ensure sensors' operation. In this regard, EH technologies come into prominence to build wireless sensor networks (WSNs) that are free from battery constraints (Sudevayalam and Kulkarni, 2011). Hence, these challenges promote

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IEEE 802.11AH: the WiFi approach for M2M communications

Cited by 232 publications

References 10 publications

DASCo: dynamic adaptive streaming over CoAP

DASCo: dynamic adaptive streaming over CoAP

Analisis Unjuk Kerja Perubahan Jumlah Node dan RAW Station pada IEEE 802.11ah

5G and Cellular Networks in the Smart Grid

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