Ultrasound Proximity Networking on Smart Mobile Devices for IoT Applications

Novak, Ed; Tang, Zhuofan; Li, Qun

doi:10.1109/jiot.2018.2848099

Cited by 26 publications

(5 citation statements)

References 27 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Requiring just that PC clients run a little application, the framework effectively gives powerful room-specific broadcasting at information paces of 200 bit/s. Transfers payment data from one device to another by the use of its speakers and microphone [4] Data in the form of music is proposed in paper [8]. In this work, the authors have proposed a sound information concealing framework that shrouds data into signals not known previously.…”

Section: Literature Reviewmentioning

confidence: 99%

Disaster Mitigation Using a Peer-to-Peer Near Sound Data Transfer System

Priya

Bhatnagar

Lakshminarayanan

2021

Lecture Notes in Electrical Engineering

View full text Add to dashboard Cite

Section: Literature Reviewmentioning

confidence: 99%

Disaster Mitigation Using a Peer-to-Peer Near Sound Data Transfer System

Priya

Bhatnagar

Lakshminarayanan

2021

Lecture Notes in Electrical Engineering

View full text Add to dashboard Cite

“…Random IDs are updated at different intervals. Except initial seeds (e.g., S 0 in West-PACT [5]) that never change during the entire infection period, the others either update when the Bluetooth MAC address Approach # Devices Relative Motion Support Distance (m) Device Position Hush [17] 2 < 0.5 On obstacle U-Wear [24] > 2 < 0.5 On body (fixed) Dhwani [14] 2 < 0.2 1 No obstacles DopEnc [28] 1-3 1-1.5 N/A ACOUSTIC-TURF Up to 10 2 Any position, occluded Table 2: Comparison of multi-access communications using acoustic signals.…”

Section: Related Workmentioning

confidence: 99%

“…There have been efforts to enable acoustic communications between devices that are equipped with microphones and speakers, as summarized in Table 2. In particular, Novak et al presented Hush [17], a software modem that utilizes very high frequency sound to send data between commodity smart mobile devices. Hush performs fast modulation unobtrusively among users and achieves a low error rate.…”

Section: Related Workmentioning

confidence: 99%

ACOUSTIC-TURF: Acoustic-based Privacy-Preserving COVID-19 Contact Tracing

Luo¹,

Zhang²,

Zuo³

et al. 2020

Preprint

View full text Add to dashboard Cite

In this paper, we propose a new privacy-preserving, automated contact tracing system, ACOUSTIC-TURF, to fight COVID-19 using acoustic signals sent from ubiquitous mobile devices. At a high level, ACOUSTIC-TURF adaptively broadcasts inaudible ultrasonic signals with randomly generated IDs in the vicinity. Simultaneously, the system receives other ultrasonic signals sent from nearby (e.g., 6 feet) users. In such a system, individual user IDs are not disclosed to others and the system can accurately detect "encounters" in physical proximity with 6-foot granularity. We have implemented a prototype of ACOUSTIC-TURF on Android and evaluated its performance in terms of acoustic-signal-based encounter detection accuracy and power consumption at different ranges and under various occlusion scenarios. Experimental results show that ACOUSTIC-TURF can detect multiple contacts within a 6-foot range for mobile phones placed in pockets and outside pockets. Furthermore, our acoustic-signal-based system achieves greater precision than wireless-signal-based approaches when contact tracing is performed through walls. ACOUSTIC-TURF correctly determines that people on opposite sides of a wall are not in contact with one another, whereas the Bluetooth-based approaches detect nonexistent contacts among them.

show abstract

“…ITH the rapid development of mobile communication technologies, smart mobile devices (SMDs) including smartphones, tablets, laptops and smartwatches have become the main platforms to support various mobile applications such as banking, education, healthcare, travel, business, games, face recognition, augmented reality, and natural language processing, etc. [1] [2]. Nowadays, although SMDs are 611756, China (e-mail: fhs@my.swjtu.edu.cn; hxx@home.swjtu.edu.cn; sxluo@swjtu.edu.cn; zhandawei@swjtu.edu.cn; penglindai@swjtu.edu.cn).…”

Section: Introductionmentioning

confidence: 99%

A Multiobjective Computation Offloading Algorithm for Mobile-Edge Computing

Song

Xing

Luo

et al. 2020

IEEE Internet Things J.

View full text Add to dashboard Cite

In mobile edge computing (MEC), smart mobile devices (SMDs) with limited computation resources and battery lifetime can offload their computing-intensive tasks to MEC servers, thus to enhance the computing capability and reduce the energy consumption of SMDs. Nevertheless, offloading tasks to the edge incurs additional transmission time and thus higher execution delay. This paper studies the trade-off between the completion time of applications and the energy consumption of SMDs in MEC networks. The problem is formulated as a multiobjective computation offloading problem (MCOP), where the task precedence, i.e. ordering of tasks in SMD applications, is introduced as a new constraint in the MCOP. An improved multiobjective evolutionary algorithm based on decomposition (MOEA/D) with two performance enhancing schemes is proposed. 1) The problem-specific population initialization scheme uses a latency-based execution location initialization method to initialize the execution location (i.e. either local SMD or MEC server) for each task. 2) The dynamic voltage and frequency scaling based energy conservation scheme helps to decrease the energy consumption without increasing the completion time of applications. The simulation results clearly demonstrate that the proposed algorithm outperforms a number of state-of-the-art heuristics and meta-heuristics in terms of the convergence and diversity of the obtained nondominated solutions.

show abstract

Ultrasound Proximity Networking on Smart Mobile Devices for IoT Applications

Cited by 26 publications

References 27 publications

Disaster Mitigation Using a Peer-to-Peer Near Sound Data Transfer System

Disaster Mitigation Using a Peer-to-Peer Near Sound Data Transfer System

ACOUSTIC-TURF: Acoustic-based Privacy-Preserving COVID-19 Contact Tracing

A Multiobjective Computation Offloading Algorithm for Mobile-Edge Computing

Contact Info

Product

Resources

About