Basketball net &amp;#x2014; A flexible and resilient topology for wireless sensor networks

Liew, Soung-Yue; Gan, Ming-Lee; Lim, Chong Shen; Goh, Hock Guan

doi:10.1109/icufn.2014.6876756

Cited by 4 publications

(3 citation statements)

References 10 publications

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“…In [30], a data analysis (prediction, compression and recovery) framework is presented with the aim of a significant power saving in the monitoring of clustered WSNs for environmental applications. Reference [31] focuses on the difficulties of node organizations in a wireless network, related to different information delivering such as statistics. The work proposes a net topology in order to reduce routing complexity and to obtain a better ability delivering statistical packages.…”

Section: Development Of a Real-time Vital Data Collection System Frommentioning

confidence: 99%

Basketball Player On-Body Biophysical and Environmental Parameter Monitoring Based on Wireless Sensor Network Integration

et al. 2021

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Sport activities have benefited in recent years from the progressive adoption of different technological assets in order to improve individual as well as group training, collect different statistics or enhance the spectator experiences. The progressive adoption of Internet of Things paradigms can also be considered within the scope of sport activities, providing high levels of user interactivity as well as enabling cloud-based data storage and processing. In this work, a system for monitoring biophysical, kinematic and environmental parameters within the development of basketball training is presented. A set of on-body nodes with multiple sensors and wireless body area network capabilities have been designed, implemented and tested under real training conditions during a match. Wireless channel analysis results have been obtained with the aid of in house implemented deterministic 3D ray launching algorithm, providing accurate coverage/capacity estimations in relation with human body consideration in the field as well as in the stadium. Measurement results give relevant information in relation with individual player characteristics as well as with team characteristics, providing a flexible tool to improve training development of basketball.

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Section: Development Of a Real-time Vital Data Collection System Frommentioning

confidence: 99%

Basketball Player On-Body Biophysical and Environmental Parameter Monitoring Based on Wireless Sensor Network Integration

et al. 2021

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“…In order to prolong the lifetime and maintain the connectivity of WSN, different topologies have been proposed in the literature. For instance, a new topology called Basketball Net Topology (BNT) [3] has recently been designed for WSN to address the routing and resiliency issues. With reference to Figures 1 and 2, the BNT levelizes the nodes in the network and introduces a connection table to each node.…”

Section: Introductionmentioning

confidence: 99%

“…In addition, this topology can be selfrecovered if any one of the node fails to ensure the network reliability. Interested readers may refer to paper [3] for more details about the BNT. However, the energy-efficient data collection protocols have not been discussed in [3].…”

Section: Introductionmentioning

confidence: 99%

A fast, adaptive, and energy-efficient multi-path-multi-channel data collection protocol for wireless sensor networks

Tan

Liew

Goh

et al. 2017

2017 International Conference on Recent Advances in Signal Processing, Telecommunications &Amp; Computing (SigTelCom)

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Energy consumption, traffic adaptability, fast data collection, etc are the major issues in wireless sensor networks (WSNs). Most existing WSN protocols are able to handle one or two of the above issues with the other(s) being compromised. In order to reduce the energy consumption of wireless sensor nodes while having fast data collection under different traffic generating rates, this paper proposes a fast, adaptive, and energy-efficient multi-path-multi-channel (FAEM) data collection protocol. FAEM makes use of the Basketball Net Topology proposed in the literature, in which a multi-parent-multi-child connection table is pre-established at each node; each node is also pre-assigned a receiving channel which is different from those of the neighboring nodes so as to eliminate the transmission interference. During data transmission, time is divided into duty cycles, and each consists of two phases, namely distributed iterative scheduling phase and slot-based packet forwarding phase. The former is to match parents and children of the entire WSN in a distributed manner in order to determine whether a node should be in upload (to which parent), download (from which child), or sleep mode in a particular slot; while the latter is for nodes to take action according to the schedule. Simulation shows that our protocol is able to achieve lower energy consumption, data reliability and low latency even during a high traffic load

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An energy efficient data transmission approach for low-duty-cycle wireless sensor networks

Chen

et al. 2019

Peer-to-Peer Netw. Appl.

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Basketball net — A flexible and resilient topology for wireless sensor networks

Cited by 4 publications

References 10 publications

Basketball Player On-Body Biophysical and Environmental Parameter Monitoring Based on Wireless Sensor Network Integration

Basketball Player On-Body Biophysical and Environmental Parameter Monitoring Based on Wireless Sensor Network Integration

A fast, adaptive, and energy-efficient multi-path-multi-channel data collection protocol for wireless sensor networks

An energy efficient data transmission approach for low-duty-cycle wireless sensor networks

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