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Mukund Maheshwari

dblp:227/8058 · DBLP profile ↗
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1ranked-venue papers
0as first author
0since 2021 · last 2018
—ORCID · none

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

Computer networks · 1

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
Wireless networking · 50% Internet of things and sensor networks · 38% Internet architecture and protocols · 12%

Topics — the 4 heaviest of 4, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Internet of things and sensor networks
data forwarding
0.312018
Poster: Joint Data Latency and Packet Loss Optimization for Relay-Node Selection in Time-Varying IoT Networks · MobiCom 2018
Wireless networking
relay selection
0.312018
Poster: Joint Data Latency and Packet Loss Optimization for Relay-Node Selection in Time-Varying IoT Networks · MobiCom 2018
Wireless networking
connectivity modeling
0.112018
Poster: Joint Data Latency and Packet Loss Optimization for Relay-Node Selection in Time-Varying IoT Networks · MobiCom 2018
Internet architecture and protocols › network topology
time-varying networks
0.112018
Poster: Joint Data Latency and Packet Loss Optimization for Relay-Node Selection in Time-Varying IoT Networks · MobiCom 2018

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

poisson point process · 0.3joint optimization · 0.3
YearPublicationVenuePosition
2018 Poster: Joint Data Latency and Packet Loss Optimization for Relay-Node Selection in Time-Varying IoT Networks
abstract
The mobility of smart and connected devices in Internet of Things brings the challenge of reliable data forwarding. In this work, a relay-node selection method is proposed for mobility-tolerant data forwarding. The proposed relay-node selection method uses the connectivity information in time-varying networks. The connectivity information of IoT devices is modelled using homogeneous Poisson point processes. The connectivity duration information of all the devices with their neighbours is updated continuously. Based on connectivity information, an optimal relay-node is selected as a data forwarding node. The online relay-node selection from a source node to the base station establishes a data forwarding path. The proposed method selects the relay-nodes based on joint optimization of two network parameters, data latency and packet loss risk. The simulation results show that the proposed method significantly improves the data latency and the packet loss risk for data forwarding over time-varying IoT networks.
Surender Redhu, Mukund Maheshwari, Kshitij Yeotikar, Rajesh M. Hegde
MobiCom2