Link Quality-Based Channel Selection for Resource Constrained WSNs

Hanninen, Markku; Suhonen, Jukka; Hämäläinen, Timo D.; Hännikäinen, Marko

doi:10.1007/978-3-642-20754-9_26

Cited by 10 publications

(9 citation statements)

References 6 publications

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“…This technique is implemented by using wake-up radios and an adaptive duty cycle control algorithm. In Reference [18,19], wireless sensor nodes tune to the best available communication band in a multi-channel network based on cross-network interference.…”

Section: Related Workmentioning

confidence: 99%

WLAN Aware Cognitive Medium Access Control Protocol for IoT Applications

2020

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Internet of Things (IoT)-based devices consist of wireless sensor nodes that are battery-powered; thus, energy efficiency is a major issue. IEEE 802.15.4-compliant IoT devices operate in the unlicensed Industrial, Scientific, and Medical (ISM) band of 2.4 GHz and are subject to interference caused by high-powered IEEE 802.11-compliant Wireless Local Area Network (WLAN) users. This interference causes frequent packet drop and energy loss for IoT users. In this work, we propose a WLAN Aware Cognitive Medium Access Control (WAC-MAC) protocol for IoT users that uses techniques, such as energy detection based sensing, adaptive wake-up scheduling, and adaptive backoff, to reduce interference with the WSN and improve network lifetime of the IoT users. Results show that the proposed WAC-MAC achieves a higher packet reception rate and reduces the energy consumption of IoT nodes.

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Section: Related Workmentioning

confidence: 99%

WLAN Aware Cognitive Medium Access Control Protocol for IoT Applications

2020

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“…The first step consists in identifying the bad radio channels. Hanninen et al [12] propose to blacklist all the radio channels which exhibit an RSSI metric below a threshold value. Sha et al [13] rather use the Packet Delivery Ratio (PDR) as a radio channel quality indicator.…”

Section: B Blacklisting Techniquesmentioning

confidence: 99%

Adaptive Multi-Channel Offset Assignment for Reliable IEEE 802.15.4 TSCH Networks

Kotsiou

Papadopoulos

Théoleyre

2018

2018 Global Information Infrastructure and Networking Symposium (GIIS)

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More and more IoT applications require low-power operations and high reliability (close to 100%). Unfortunately, radio transmissions are unreliable by nature since they are prone to collision and external interference. The IEEE 802.15.4-2015 TSCH standard has been recently proposed to provide highreliability through radio channel hopping and by appropriately scheduling all the transmissions. Since some of the radio channels still suffer from external interference, blacklisting techniques consist in detecting bad radio channels, and in privileging the good ones to transmit the packets. MABO-TSCH is a centralized scheduling algorithm which allocates several channel offsets to allow each radio link to apply a localized blacklist. However, such strategy is inefficient for large blacklists. In this study, we propose to allocate the channel offsets dynamically at each timeslot according to the number of parallel transmissions, while still avoiding collisions. We evaluate the performance of our solution relying on a real experimental dataset, highlighting the relevance of dynamic and per timeslot channel offset assignment for environments with high external interference, such as a smart building.

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“…The concept of the blacklisting approach consists of two steps. First, each pair of nodes must identify the radio channels that present poor performance, e.g., low reliability and/or dynamic link qualities [14]. Then, the nodes will block these radio channels so that they are not used for transmissions.…”

Section: B Blacklisting Techniquesmentioning

confidence: 99%

Local or Global Radio Channel Blacklisting for IEEE 802.15.4-TSCH Networks?

Zorbas

Papadopoulos

Douligeris

2018

2018 IEEE International Conference on Communications (ICC)

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The IEEE 802.15.4 Time Slotted Channel Hopping (TSCH) networks suffer considerably from the high interference caused by the presence of nearby external devices, such as from the presence of IEEE 802.11b/g/n Access Points. Frequency hopping and blacklisting of radio channels that temporarily or consistently present bad performance are the two main approaches to cope with interference and increase the chances of successful packet delivery. However, the blacklisting of a number of channels and the scheduling of transmissions so that two or more neighboring links do not use the same frequency at the same time is a challenging problem, since in IEEE 802.15.4 TSCH many parallel transmissions may occur. Blacklisting algorithms may be applied either locally or globally in IEEE 802.15.4 networks. In this paper, we first present the weaknesses of a localized blacklisting solution presented in the literature for multi-hop networks, and we propose a new distributed solution to overcome these issues. Both analytical and simulation evaluation under heavy interference show the superiority of the proposed scheme. In particular, the packet delivery ratio is improved while achieving minimum delay.

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Link Quality-Based Channel Selection for Resource Constrained WSNs

Cited by 10 publications

References 6 publications

WLAN Aware Cognitive Medium Access Control Protocol for IoT Applications

WLAN Aware Cognitive Medium Access Control Protocol for IoT Applications

Adaptive Multi-Channel Offset Assignment for Reliable IEEE 802.15.4 TSCH Networks

Local or Global Radio Channel Blacklisting for IEEE 802.15.4-TSCH Networks?

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