A cooperative channel control method of ZigBee and WiFi for IoT services

Nishikori, Shu; Kinoshita, Kazuhiko; Tanigawa, Yoshinobu; Tode, Hideki; Watanabe, Takashi

doi:10.1109/ccnc.2017.7983071

Cited by 14 publications

(3 citation statements)

References 13 publications

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“…ISSN: 2302-9285 ❒ 641 [31], [32] Lorawan [33], [34], Wi-Fi [35], and many more, are found in this setting and are in a constant state of development [36]. − Application layer: it provides a means by which users can access data collected at the perception layer, modify those data to meet the needs of a given domain, and then feed those modified data into a processing network.…”

Section: Bulletin Of Electr Eng and Infmentioning

confidence: 99%

Software defined networking for internet of things: review, techniques, challenges, and future directions

Al-Shareeda,

Abdullah Alsadhan,

H. Qasim

et al. 2024

Bulletin EEI

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Security networks as one of the biggest issue for network managers with the exponential growth of devices connected to the internet. Keeping a big and diverse network running smoothly and securely is no easy feat. With this in mind, emerging technologies like software defined networking (SDN) and internet of things (IoT) hold considerable promise for information service innovation in the cloud and big data era. Therefore, this paper describes the model of SDN and the architecture of IoT. Then this review does not only review the research studies in SDN-IoT but also provides an explanation of the SDN-IoT solution in terms of architecture, main consideration, model, and the implementation of SDN controllers for IoT. Finally, this review discusses the challenges and future directions. This paper can be used as a starting point for thinking about how to improve SDN-IoT security and privacy.

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Section: Bulletin Of Electr Eng and Infmentioning

confidence: 99%

Software defined networking for internet of things: review, techniques, challenges, and future directions

Al-Shareeda,

Abdullah Alsadhan,

H. Qasim

et al. 2024

Bulletin EEI

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“…These two algorithms ask to the WLAN nodes to stop transmissions for a short period of time to avoid the interference with the ZigBee nodes. Shu Nishikori et.al [10] proposed a cooperative channel control method of ZigBee and WLAN to reduce the level of the interference. The proposed method requires the WLAN to stop for a short time period.…”

Section: Related Workmentioning

confidence: 99%

Interference mitigation techniques for a dense heterogeneous area network in machine‐to‐machine communications

Dong

Khan

Javed

et al. 2019

Trans Emerging Tel Tech

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With the advent of machine-to-machine communications, various networking consumer industrial, and autonomous systems exchange messages in the real world in order to achieve their objectives. Parts of these systems are comprised of short-range wireless networks in the form of clusters that collectively cover a large geographical area. In these clusters, the nodes that represent the cluster heads need to deal with two types of communications, ie, one is within the cluster and the other is from the cluster to the sink node. As the number of clusters increases, it takes multiple hops for the cluster head to forward data to the sink node, thus resulting in a low packet delivery rate (PDR) and throughput. To solve this problem, we propose a heterogeneous area network in which the cluster head is equipped with two types of radios, ie, the IEEE 802.15.4 and IEEE 802.11 radios. The former is for the devices within the cluster to communicate, whereas the latter is for the cluster heads to communicate to the sink node. Although the IEEE 802.11 links increase the link capacity, the IEEE 802.11 radio and the IEEE 802.15.4 radio might share the 2.4 GHz unlicensed band, thus giving rise to the internetwork collisions or interference. To tackle this problem and to maintain decent quality of service for the network, we subsequently present two interference mitigation techniques, in which a blank burst period is proposed so that the IEEE 802.15.4 radios can be suspended while the IEEE 802.11 radios are active.Simulation results show the proposed two methods can effectively mitigate the internetwork collisions and are superior to the existing technique, which uses an adaptive aggregation technique to mitigate the internetwork collisions. This is because the accumulated traffic is beyond the capacity of the relay cluster heads, thus resulting in buffer overflow and the significant performance degradation of the WSN.To tackle this issue, we connect the cluster head to an IEEE 802.11 (ie, Wi-Fi) node to form a heterogeneous area network. The IEEE 802.11 standard can be characterized as a high data rate and high throughput specification, which is good compensation for the shortcomings of IEEE 802.15.4 networks. In this work, we adopt IPv6 over low-power wireless personal area network (6LoWPAN) networks as the networks based on the IEEE 802.15.4 standard. In the proposed heterogeneous area network, the IEEE 802.11 network serves as the backbone network connecting the cluster heads and the sink node. More specifically, IEEE 802.11 networks have a higher transmission rate up to 400 Mbps (eg, IEEE 802.11n) and a much longer transmission range up to 300 meters compared to 6LoWPAN networks. As a result, these two advantages can help the 6LoWPAN networks handle a large amount of traffic over a large-scale area. It is noted that both the two networks share the unlicensed 2.4 GHz band, so the relatively high transmission power of the IEEE 802.11 network can adversely affect the transmissions of the 6LoWPAN network and cause internetwork collisi...

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“…The interference avoidance in the frequency domain is also attractive. The most of the research is focused on ZigBee devices and its channel adjustment [19]- [23], but recently [24] proposed that both ZigBee and WiFi change operating frequency.…”

Section: Zigbee Wifi Coexistencementioning

confidence: 99%

Data Mining for Interference Avoidance in Smart Cities Iot Networks

et al. 2018

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A rapid growth of the wireless communications and heavily occupied spectrum lead to an inevitable interference between the heterogenous systems operating in the same frequency band. Having in mind the development of the Internet of Things (IoT) services and networks and widely present WiFi networks on the one hand, and the fact that these two systems occupy the same 2.4 GHz frequency band on the other hand, it is clear that the control of the interference and the spectrum coordination are of the highest importance. The first step in the interference control is to acquire its properties. Since the simulation of a large IoT network is not entirely possible, due to the numerous factors not known in advance, the interference assessment is performed on the SmartSantander, an IoT testbed, located in Santander, Spain. This paper presents a statistical analysis of the sensor data and describes the interference properties and its influence. These results may be used for the spectrum coordination, together with the neural networks and semantic technologies.

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A cooperative channel control method of ZigBee and WiFi for IoT services

Cited by 14 publications

References 13 publications

Software defined networking for internet of things: review, techniques, challenges, and future directions

Software defined networking for internet of things: review, techniques, challenges, and future directions

Interference mitigation techniques for a dense heterogeneous area network in machine‐to‐machine communications

Data Mining for Interference Avoidance in Smart Cities Iot Networks

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