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Faryar Jabbari

dblp:21/8092 · DBLP profile ↗
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1ranked-venue papers
0as first author
0since 2021 · last 2020
0000-0002-8873-6551ORCID · reported

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
Cellular and mobile networks · 30% Wireless networking · 30% Network optimization and economics · 30%

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

TopicWeightPapersLastEvidence papers
Wireless networking › mobile ad hoc networks
connectivity maintenance
0.412020
Connectivity Maintenance in Mobile Networks · IEEE/ACM Trans. Netw. 2020
Cellular and mobile networks
mobile networks
0.412020
Connectivity Maintenance in Mobile Networks · IEEE/ACM Trans. Netw. 2020
Network optimization and economics
resource allocation
0.412020
Connectivity Maintenance in Mobile Networks · IEEE/ACM Trans. Netw. 2020
Wireless sensing and localization › satellite navigation
GPS localization
0.112020
Connectivity Maintenance in Mobile Networks · IEEE/ACM Trans. Netw. 2020

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

polynomial-time algorithm · 0.4optimization · 0.4
YearPublicationVenuePosition
2020 Connectivity Maintenance in Mobile Networks
abstract
This work studies connectivity maintenance of mobile networks. A mobile network of interest consists of two types of nodes, pre-deployed (client) and intermediate nodes. Upon initial deployment of client nodes in a field, multiple stationary intermediate nodes are placed strategically to establish robust network connectivity. We study scenarios in which an initially connected network consisting of pre-deployed and intermediate nodes is exposed to mobility of the former. Two types of node mobility scenarios are investigated. The first scenario analyzes the bounds of mobility when pre-deployed nodes move at small scales. The bounds of node mobility preserving connectivity are derived through analysis and verified by simulations. The second scenario considers the movement of pre-deployed nodes beyond the bounds of the first scenario thereby breaking connected links and partitioning the connected network. This scenario then considers relocating the existing intermediate nodes in order to reestablish connectivity. A general formulation is proposed in the form of an optimization problem. We prove that the general formulation of the problem is NP-hard. Next, we turn our attention to a practical scenario in which the location of nodes is made available using GPS signals. We solve the problem of practical scenario in polynomial time and analyze the complexity of our solution. We also present comprehensive performance evaluation results of our proposed algorithm.
Kai Ding 0002, Homayoun Yousefi'zadeh, Faryar Jabbari
IEEE/ACM Trans. Netw.3