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Wan Jia

dblp:300/9027 · DBLP profile ↗
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1ranked-venue papers
0as first author
1since 2021 · last 2021
—ORCID · none

Domains — the database's venue-derived domains; a paper can count in several

Computer networks · 1 · 1 since 2021

Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.

Computer networks
1 paper
Internet of things and sensor networks · 87% Cellular and mobile networks · 13%

Topics — the 3 heaviest of 3, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Internet of things and sensor networks
cross-technology communication
0.512021
PRComm: Anti-Interference Cross-Technology Communication Based on Pseudo-random Sequence · IPSN 2021
Internet of things and sensor networks › cross-technology communication
wifi to zigbee communication
0.512021
PRComm: Anti-Interference Cross-Technology Communication Based on Pseudo-random Sequence · IPSN 2021
Cellular and mobile networks › interference management
interference mitigation
0.112021
PRComm: Anti-Interference Cross-Technology Communication Based on Pseudo-random Sequence · IPSN 2021

Methods — techniques the papers use, named apart from their topics

dynamic synchronous decoding · 0.5
YearPublicationVenuePosition
2021 PRComm: Anti-Interference Cross-Technology Communication Based on Pseudo-random Sequence
abstract
With the rapid development of the Internet of Things (IoT), we have seen a larger number of devices deployed with different wireless communication protocols (i.e., WiFi, ZigBee, Bluetooth). Working in the same place opens a new opportunity for these devices to communicate directly with each other, leveraging on Cross-technology Communication (CTC). However, since these devices operate in the same frequency band which results in the competition against each other for network resources, severe interfere may arise. In this paper, we explore pseudo-random sequence (PR sequence) to design a novel CTC protocol that enables low-cost direct communication between WiFi and ZigBee in noisy indoor environments. Pseudorandom sequence offers a unique statistical feature to accomplish both information transmission and synchronization between heterogeneous devices. We design a dynamic synchronous decoding strategy to handle interference coexisted among different wireless protocols. Our system does not require any modification of communication protocol and underlying hardware and firmware. We implement our system on commercial devices (Intel 5300 WiFi NIC and MicaZ CC2420), and conduct extensive experiments to evaluate the system performance in three typical scenarios. The experimental results show that the synchronization time of our approach is lower than 0.5 ms, and the accuracy is greater than 84% while the channel occupancy is as high as 50%.
Wei Wang 0056, Dingsheng He, Wan Jia, Xiaojiang Chen, Tao Gu 0001, Guannan Chen, Fuping Wu
IPSN3