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Ridhima Verma

dblp:370/9817 · DBLP profile ↗
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1ranked-venue papers
0as first author
1since 2021 · last 2024
0009-0005-2000-5524ORCID · reported

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 · 44% Wireless networking · 35% Network performance modeling · 22%

Topics — the 6 heaviest of 6, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Wireless networking › wireless network protocols
bluetooth low energy
0.812024
Dynamic Data Advertising and Packet Loss Analysis Using BLE Legacy Advertising · IEEE Trans. Mob. Comput. 2024
Internet of things and sensor networks
low-power wireless
0.812024
Dynamic Data Advertising and Packet Loss Analysis Using BLE Legacy Advertising · IEEE Trans. Mob. Comput. 2024
Network performance modeling › packet loss
packet loss analysis
0.812024
Dynamic Data Advertising and Packet Loss Analysis Using BLE Legacy Advertising · IEEE Trans. Mob. Comput. 2024
Internet of things and sensor networks › data dissemination
sensor data dissemination
0.812024
Dynamic Data Advertising and Packet Loss Analysis Using BLE Legacy Advertising · IEEE Trans. Mob. Comput. 2024
Wireless networking
medium access control
0.212024
Dynamic Data Advertising and Packet Loss Analysis Using BLE Legacy Advertising · IEEE Trans. Mob. Comput. 2024
Wireless networking
packet collision
0.212024
Dynamic Data Advertising and Packet Loss Analysis Using BLE Legacy Advertising · IEEE Trans. Mob. Comput. 2024

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

mathematical analysis · 0.8experimental measurement · 0.8
YearPublicationVenuePosition
2024 Dynamic Data Advertising and Packet Loss Analysis Using BLE Legacy Advertising
abstract
Bluetooth Low energy (BLE) advertisements have great potential in Internet of Things applications like monitoring systems, which involve the real-time transfer of data collected from sensors interfaced to multiple power-constrained devices. Since sensor data conveys information about the present state of the system, packet loss is vital in such applications. The paper proposes a customized BLE legacy advertising packet structure to advertise dynamic sensor data, and proposes two techniques: One-Set-Multiple-Events (OSME) and One-Set-X-Events (OSXE), to advertise the dynamic sensor data using the non-connectable and non-scannable undirected advertising mode of BLE. Using appropriate advertising parameters with OSXE, each advertising packet gets successfully advertised$X$times, whereas OSME neither guarantees successful advertisement of all the packets, nor does it allow control over the number of transmitted copies of each packet. Using OSXE, experimental analysis is carried out to study packet loss when single BLE node transmits alone, and when 25 nodes transmit simultaneously. Mathematical analysis has been carried out for packet collision for multiple nodes. Experimental results show that packet loss is also impacted by factors like advertising set duration, scan window, scanner's link layer activities like advertising report generation and channel switching. Using OSXE, packet loss close to 0% is obtained for$X=3$when 25 nodes advertise simultaneously.
Sukriti Gautam, Ridhima Verma, Suman Kumar 0006
IEEE Trans. Mob. Comput.2