Works (11)

Updated: July 5th, 2023 15:49

2015 journal article

Characterizing link connectivity in opportunistic networks

Opportunistic Mobile Social Networks, 71–97.

By: C. Lee & D. Eun

Source: NC State University Libraries
Added: August 6, 2018

2015 journal article

Exploiting Heterogeneity for Improving Forwarding Performance in Mobile Opportunistic Networks: An Analytic Approach

IEEE TRANSACTIONS ON MOBILE COMPUTING, 15(1), 150–162.

By: C. Lee n & D. Eun n

author keywords: Mobile opportunistic networks; heterogeneous contact behaviors between different mobile nodes; heterogeneity-aware forwarding policies; forwarding performance; performance analysis
TL;DR: An analytical framework is developed to quantify the performance gain achievable by exploiting the heterogeneity in mobile nodes' contact dynamics and derive a delay upper bound of a heterogeneity-aware static forwarding policy per each given number of message copies, which enables a quantitative study on the benefit of leveraging underlying heterogeneity structure in the design of forwarding algorithms. (via Semantic Scholar)
UN Sustainable Development Goal Categories
16. Peace, Justice and Strong Institutions (OpenAlex)
Source: Web Of Science
Added: August 6, 2018

2015 journal article

Towards Distributed Optimal Movement Strategy for Data Gathering in Wireless Sensor Networks

IEEE TRANSACTIONS ON PARALLEL AND DISTRIBUTED SYSTEMS, 27(2), 574–584.

By: C. Lee n, J. Kwak n & D. Eun n

author keywords: Wireless sensor networks; mobile collectors; data gathering; Markovian random-walk movement strategies; distributed optimal movement strategy; network loss probability
TL;DR: This paper obtains the optimal movement strategy among a class of Markovian strategies so as to minimize the data loss rate over all sensor nodes, and explains how such an optimalmovement strategy can be made to work in a distributed fashion. (via Semantic Scholar)
Source: Web Of Science
Added: August 6, 2018

2014 conference paper

A general framework of hybrid graph sampling for complex network analysis

2014 proceedings ieee infocom, 2795–2803.

By: X. Xu n, C. Lee n & D. Eun n

TL;DR: A hybrid graph sampling framework is developed that inherits the benefit of returning immediate samples from random walk-based crawling, while incorporating the advantage of reducing the correlation in the obtained samples fromrandom jump, to strike the right balance between random jump and crawling. (via Semantic Scholar)
Source: NC State University Libraries
Added: August 6, 2018

2014 conference paper

A high-order Markov chain based scheduling algorithm for low delay in CSMA networks

2014 proceedings ieee infocom, 1662–1670.

By: J. Kwak n, C. Lee n & D. Eun n

Source: NC State University Libraries
Added: August 6, 2018

2013 conference paper

Characterizing link connectivity for opportunistic mobile networking: Does mobility suffice?

2013 proceedings ieee infocom, 2076–2084.

By: C. Lee n, J. Kwak n & D. Eun n

TL;DR: This work investigates how each user's availability jointly with mobility-induced contact/inter-contact process affects the link-level connectivity depending on their relative operating time scales and suggests the presence of many uncharted research territories for further exploration. (via Semantic Scholar)
Source: NC State University Libraries
Added: August 6, 2018

2012 journal article

On the Forwarding Performance under Heterogeneous Contact Dynamics in Mobile Opportunistic Networks

IEEE TRANSACTIONS ON MOBILE COMPUTING, 12(6), 1107–1119.

By: C. Lee n & D. Eun n

author keywords: Mobile opportunistic networks; heterogeneous contact dynamics; non-Poisson contact dynamics; forwarding performance; stochastic/convex ordering relationships
TL;DR: This paper considers two representative heterogeneous network models, each of which captures heterogeneity among node pairs and heterogeneity in underlying environment (spatial), respectively, and demonstrates that the heterogeneity in mobile nodes' contact dynamics should be properly taken into account for the performance evaluation of forwarding algorithms. (via Semantic Scholar)
UN Sustainable Development Goal Categories
3. Good Health and Well-being (OpenAlex)
Source: Web Of Science
Added: August 6, 2018

2011 conference paper

Smart sleep: sleep more to reduce delay in duty-cycled wireless sensor networks

2011 proceedings ieee infocom, 611–615.

By: C. Lee n & D. Eun n

TL;DR: This paper proposes a simple modification of random duty cycling, named Smart Sleep, which achieves more power-saving as well as faster packet diffusion (or smaller delay) while retaining the benefits of SRW. (via Semantic Scholar)
UN Sustainable Development Goal Categories
7. Affordable and Clean Energy (OpenAlex)
Source: NC State University Libraries
Added: August 6, 2018

2010 conference paper

A Distributed Wake-up Scheduling for Opportunistic Forwarding in Wireless Sensor Networks

2010 ieee global telecommunications conference globecom 2010.

By: C. Lee n & D. Eun n

TL;DR: It is proved that the proposed algorithm outperforms pure homogeneous duty cycling, where every node uses the same wake-up rate, in its guaranteed asymptotic upper bound of the worst-case delay for \emph{any} graph. (via Semantic Scholar)
UN Sustainable Development Goal Categories
7. Affordable and Clean Energy (OpenAlex)
Source: NC State University Libraries
Added: August 6, 2018

2009 conference paper

Heterogeneity in contact dynamics: Helpful or harmful to forwarding algorithms in DTNs?

2009 7th International Symposium on Modeling and Optimization in Mobile, Ad Hoc, and Wireless, 72–81.

By: C. Lee & D. Eun

Source: NC State University Libraries
Added: August 6, 2018

2009 journal article

Superdiffusive Behavior of Mobile Nodes and Its Impact on Routing Protocol Performance

IEEE TRANSACTIONS ON MOBILE COMPUTING, 9(2), 288–304.

By: S. Kim n, C. Lee n & D. Eun n

author keywords: Mobility models; trace-based models; superdiffusion; mobile ad hoc networks; routing protocols
TL;DR: The work in this paper suggests that the diffusive behavior of mobile nodes should be correctly captured and taken into account for the design and comparison study of network protocols. (via Semantic Scholar)
Source: Web Of Science
Added: August 6, 2018

Citation Index includes data from a number of different sources. If you have questions about the sources of data in the Citation Index or need a set of data which is free to re-distribute, please contact us.

Certain data included herein are derived from the Web of Science© and InCites© (2024) of Clarivate Analytics. All rights reserved. You may not copy or re-distribute this material in whole or in part without the prior written consent of Clarivate Analytics.