Multi-Source Energy Harvesting and Storage for Floating Wireless Sensor Network Nodes With Long Range Communication Capability

Lee, Wai-Kong; Schubert, Martin; Ooi, Boon-Yaik; Ho, Stanley Jian-Qin

doi:10.1109/tia.2018.2799158

Cited by 91 publications

(67 citation statements)

References 20 publications

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“…Compared with the traditional PC era, it has the characteristics of smaller size and lower price and breaks through the traditional computer limitations (Kumar L et al 2018) [9]. For each sensor node, it can measure and analyze the signals in the surrounding environment through built-in multiple sensors and obtain the required data (Lee W K et al 2018) [10]. The computational processing capability brought about by the universal network is even more difficult to measure.…”

Section: Start Of the Artmentioning

confidence: 99%

RETRACTED ARTICLE: Data cleansing method of talent management data in wireless sensor network based on data mining technology

Bai

2019

J Wireless Com Network

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Data mining technology is a very common computer technology, which has been widely used in many fields because of its superior performance. The method of talent management data cleaning in wireless sensor networks is studied based on data mining technology. The research status of data mining technology is first introduced at home and abroad, and the specific application forms of wireless sensor networks are analyzed. Then, the structure characteristics of wireless sensor networks are introduced, and a data cleansing technology is proposed based on clustering model. A cluster-based replication record deletion algorithm is proposed, and finally, the accuracy of data cleansing methods is verified. The results show that the research method of this paper is correct and effective.

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Section: Start Of the Artmentioning

confidence: 99%

RETRACTED ARTICLE: Data cleansing method of talent management data in wireless sensor network based on data mining technology

Bai

2019

J Wireless Com Network

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“…When deployment costs are considered having a long life LoRaWAN equipped IoT devices becomes a feasible solution. Lee et al [102], a LoRa based application for monitoring environmental changes presented. The designed system is capable of keeping track of floating-point cases for rivers and the seas.…”

Section: Lorawan Applicationsmentioning

confidence: 99%

A Survey on LoRaWAN Architecture, Protocol and Technologies

et al. 2019

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Internet of Things (IoT) expansion led the market to find alternative communication technologies since existing protocols are insufficient in terms of coverage, energy consumption to fit IoT needs. Low Power Wide Area Networks (LPWAN) emerged as an alternative cost-effective communication technology for the IoT market. LoRaWAN is an open LPWAN standard developed by LoRa Alliance and has key features i.e., low energy consumption, long-range communication, builtin security, GPS-free positioning. In this paper, we will introduce LoRaWAN technology, the state of art studies in the literature and provide open opportunities. Several LPWANs emerged on both licensed and unlicensed bands, LoRaWAN, Sigfox and, NB-IoT are widely deployed vital technologies [3].Sigfox is an ultra-narrow band network that is patented and operated by Sigfox. Sigfox occupies 100 Hz and operates at 433MHz, 868MHz and 915MHz frequencies depending on the geographical regions. Technology has strict constraints on the number of packets (140 per day) and the packet size (12 bytes) to be sent. Also, LoRaWAN has similar policies to prevent network congestion allowing channels to be available only %1 duty-cycle for EU 868MHz (See Section 2.4.7). NB-IoT is an ultra-narrow band technology developed by the 3GPP group which can be adopted on GSM and LTE networks. It occupies 200 MHz bandwidth and can reach up to 200 kbps data transmission speed. Compared to LoRaWAN, Sigfox and NB-IoT operated by global network operators which limit deployments of the private networks [4].An overview comparison of the three networks is shown in Table 1. When LPWAN characteristics are considered LoRaWAN becomes a strong candidate for both scientific and industrial uses cases.LoRa referrer to Long Range and a physical layer technology patented by Semtech [5].LoRaWAN is an open protocol proposed by the LoRa Alliance which enables the MAC layer for the network [6].In this study, we will introduce the technological aspects of LoRaWAN and the state of art studies fulfilled about LoRaWAN till today. LoRaWAN protocol was first released in 2015 and had a few minor revisions, the differences in the protocol has been highlighted in the relevant subsection. In the survey, we will introduce LoRaWAN in depth both technological aspects and the use cases of its different areas. We categorized literature studies as in Figure 1. Studies are classified as two main sections; network technology and the applications, each section has own sub-branches. The majority of the work is focused on the coverage tests and applicability of the technology for different fields from large scale smart city applications to personal tracking assets. However, there are still gaps in the literature where researchers can address these problems such as post-disaster communication, decentralized networks, network management, and Adaptive Data Rate.

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“…A joint optimization problem has been formulated with optimizing channel assignment, time allocation, and transmit power allocation simultaneously. [2] has proposed a novel floating device, integrating multi-source EH technologies and communication systems together to achieve long range communications with LoRa.…”

Section: A Related Workmentioning

confidence: 99%

“…In the swap-matching algorithm, users keep looking for swap-blocking pairs, while the utilities of both players are Algorithm 2: Matching Initialization Algorithm Input: Given any user set ⊕ U M = U, α m,n = 0, initialize proposal indicator β m,n = 0, ∀ m, n. 1 Obtain the preference list of each user PI Un , ∀ U n ∈ U. 2 Obtain the preference list of each channel PI Lm , ∀ L m ∈ L. 3 while ⊕ U M = ∅ do 4 for ∀U n ∈ U do 5 U n chooses its first preference that has not failed before. 6 Update β m,n = 1 if U n proposes to L m .…”

Section: B Proposed Efficient Channel Allocation Algorithm For Iot Nmentioning

confidence: 99%

Resource Allocation in Wireless Powered IoT Networks

Liu

Qin

Gao

et al. 2019

IEEE Internet Things J.

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In this paper, efficient resource allocation for the uplink transmission of wireless powered IoT networks is investigated. We adopt LoRa technology as an example in the IoT network, but this work is still suitable for other communication technologies. Allocating limited resources, like spectrum and energy resources, among a massive number of users faces critical challenges. We consider grouping wireless powered IoT users into available channels first and then investigate power allocation for users grouped in the same channel to improve the network throughput. Specifically, the user grouping problem is formulated as a many to one matching game. It is achieved by considering IoT users and channels as selfish players which belong to two disjoint sets. Both selfish players focus on maximizing their own utilities. Then we propose an efficient channel allocation algorithm (ECAA) with low complexity for user grouping. Additionally, a Markov Decision Process (MDP) is used to model unpredictable energy arrival and channel conditions uncertainty at each user, and a power allocation algorithm is proposed to maximize the accumulative network throughput over a finite-horizon of time slots. By doing so, we can distribute the channel access and dynamic power allocation local to IoT users. Numerical results demonstrate that our proposed ECAA algorithm achieves near-optimal performance and is superior to random channel assignment, but has much lower computational complexity. Moreover, simulations show that the distributed power allocation policy for each user is obtained with better performance than a centralized offline scheme.

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Multi-Source Energy Harvesting and Storage for Floating Wireless Sensor Network Nodes With Long Range Communication Capability

Cited by 91 publications

References 20 publications

RETRACTED ARTICLE: Data cleansing method of talent management data in wireless sensor network based on data mining technology

RETRACTED ARTICLE: Data cleansing method of talent management data in wireless sensor network based on data mining technology

A Survey on LoRaWAN Architecture, Protocol and Technologies

Resource Allocation in Wireless Powered IoT Networks

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