Sub 1GHz wireless LAN deployment scenarios and design implications in rural areas

Aust, Stefan; Ito, Toshio

doi:10.1109/glocomw.2011.6162336

Cited by 15 publications

(9 citation statements)

References 8 publications

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“…It is argued in [35] that high density WLANs of up to 6000 nodes can be covered within 1 km coverage radius. In addition, a number of 10,000 sensors/actuators can be expected in large outdoor areas for a deployment of a typical industrial process automation [36].…”

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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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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“…Compared with the 2.4 GHz or 5 GHz frequency band, the transmission distance of the Sub-1 GHz wireless communication is farther, so its coverage is wider and its power consumption is lower [ 6 , 7 , 8 ]. The method of multinodes communication in the WSN includes competition-based [ 9 , 10 , 11 , 12 ] and scheduling-based MAC [ 13 , 14 , 15 , 16 ].…”

Section: Related Researchmentioning

confidence: 99%

A Low-Power WSN Protocol with ADR and TP Hybrid Control

Hung

Zhang

Hsu

et al. 2020

Sensors

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Most Internet of Things (IoT) systems are based on the wireless sensor network (WSN) due to the reduction of the cable layout cost. However, the battery life of nodes is a key issue when the node is powered by a battery. A Low-Power WSN Protocol with ADR and TP Hybrid Control is proposed in this paper to improve battery life significantly. Besides, techniques including the Sub-1GHz star topology network with Time Division Multiple Access (TDMA), adaptive data rate (ADR), and transmission power control (TPC) are also used. The long-term testing results show that the nodes with the proposed algorithm can balance the communication quality and low power consumption simultaneously. The experimental results also show that the power consumption of the node with the algorithm was reduced by 38.46-54.44% compared with the control group. If using AAA battery with 1200 mAh, the node could run approximately 4.2 years with the proposed hybrid control algorithm with an acquisition period of under 5 s.

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“…Temperature change sensors, water level sensors, and humidity sensors (as the STs), using the same frequency band, form another sensor network with an access point (as the SR). This model is described in [31,32]. Our system model assumes that the ST acting as the relay of the PT and as the source of a sensor network is capable of energy harvesting.…”

Section: System Modelmentioning

confidence: 99%

“…The devices PT, PR, ST, and SR can be set up with different technologies. If the ST is allowed to help the PT, the ST can change its sensor network configuration by software operations [32]. …”

Section: System Modelmentioning

confidence: 99%

Optimal Power Allocation of Relay Sensor Node Capable of Energy Harvesting in Cooperative Cognitive Radio Network

Har

Cho

Kong

2017

Sensors

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A cooperative cognitive radio scheme exploiting primary signals for energy harvesting is proposed. The relay sensor node denoted as the secondary transmitter (ST) harvests energy from the primary signal transmitted from the primary transmitter, and then uses it to transmit power superposed codes of the secrecy signal of the secondary network (SN) and of the primary signal of the primary network (PN). The harvested energy is split into two parts according to a power splitting ratio, one for decoding the primary signal and the other for charging the battery. In power superposition coding, the amount of fractional power allocated to the primary signal is determined by another power allocation parameter (e.g., the power sharing coefficient). Our main concern is to investigate the impact of the two power parameters on the performances of the PN and the SN. Analytical or mathematical expressions of the outage probabilities of the PN and the SN are derived in terms of the power parameters, location of the ST, channel gain, and other system related parameters. A jointly optimal power splitting ratio and power sharing coefficient for achieving target outage probabilities of the PN and the SN, are found using these expressions and validated by simulations.

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Sub 1GHz wireless LAN deployment scenarios and design implications in rural areas

Cited by 15 publications

References 8 publications

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

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

A Low-Power WSN Protocol with ADR and TP Hybrid Control

Optimal Power Allocation of Relay Sensor Node Capable of Energy Harvesting in Cooperative Cognitive Radio Network

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