Maximizing the Relevant Diversity of Social Swarming Information

Peter Terlecky; Yurong Jiang; Xing Xu; Amotz Bar-Noy; Ramesh Govindan

Research.Publish.Connect.

*Please fill out at least one Field. *Value must be an number!

Title:
ISBN:
Year:
Acronym:
Subject:

Advanced Search Proceedings Search

If you're looking for an exact phrase use quotation marks on text fields.

*Please fill out at least one Field.

Title:
Author:
Affiliation:
Subject:

Advanced Search Papers Search

If you're looking for an exact phrase use quotation marks on text fields.

*Please fill out at least one Field.

Name:
Affiliation:
Country:
Conference:
Subject:

Advanced Search Authors Search

If you're looking for an exact phrase use quotation marks on text fields.

*Please fill out at least one Field.

Name:
Country:
Subject:

Advanced Search Affiliations Search

If you're looking for an exact phrase use quotation marks on text fields.

Proceedings

Proceedings Search *Please fill out at least one Field. *Value must be an number!

Title:
ISBN:
Year:
Acronym:
Subject:

Advanced Search Proceedings Search

If you're looking for an exact phrase use quotation marks on text fields.

Papers

Papers Search *Please fill out at least one Field.

Title:
Author:
Affiliation:
Subject:

Advanced Search Papers Search

If you're looking for an exact phrase use quotation marks on text fields.

Authors

Authors Search *Please fill out at least one Field.

Name:
Affiliation:
Country:
Conference:
Subject:

Advanced Search Authors Search

If you're looking for an exact phrase use quotation marks on text fields.

Advanced Search

Paper

Maximizing the Relevant Diversity of Social Swarming Information

Topics: Wireless Surveillance

In Proceedings of the 3rd International Conference on Sensor Networks SENSORNETS - Volume 1, 365-372, 2014 , Lisbon, Portugal

Authors: Peter Terlecky ¹ ; Yurong Jiang ² ; Xing Xu ² ; Amotz Bar-Noy ¹ and Ramesh Govindan ²

Affiliations: ¹ CUNY Graduate Center, United States ; ² University of Southern California, United States

Keyword(s): Information Diversity, Social Swarming, Maximum Coverage.

Related Ontology Subjects/Areas/Topics: Applications and Uses ; Sensor Networks ; Wireless Surveillance

Abstract: In social swarming applications, users are equipped with smartphones and generate data on specific tasks in the form pictures, video, audio, text. A central commander would like to gain access to data relevant to a particular query. Which data wirelessly uploaded to the commander maximizes the amount of diverse information received subject to a bandwidth constraint? We model such a problem in two distinct ways. It is first modeled as a maximum coverage with group budget constraints problem and then as a variant of the maximum edge-weighted clique problem. It is shown that the algorithm for the maximum coverage model outperforms a heuristic for the clique-based model theoretically and practically, with both performing very well experimentally compared to an upper bound benchmark.

CC BY-NC-ND 4.0

Guest: Register as new SciTePress user now for free.

SciTePress user: please login.

My Papers

You are not signed in, therefore limits apply to your IP address 3.144.244.244

In the current month:

Recent papers: 100 available of 100 total

2⁺ years older papers: 200 available of 200 total

Paper citation in several formats:

Terlecky, P.; Jiang, Y.; Xu, X.; Bar-Noy, A. and Govindan, R. (2014). Maximizing the Relevant Diversity of Social Swarming Information. In Proceedings of the 3rd International Conference on Sensor Networks - SENSORNETS; ISBN 978-989-758-001-7; ISSN 2184-4380, SciTePress, pages 365-372. DOI: 10.5220/0004717503650372

@conference{sensornets14,
author={Peter Terlecky. and Yurong Jiang. and Xing Xu. and Amotz Bar{-}Noy. and Ramesh Govindan.},
title={Maximizing the Relevant Diversity of Social Swarming Information},
booktitle={Proceedings of the 3rd International Conference on Sensor Networks - SENSORNETS},
year={2014},
pages={365-372},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0004717503650372},
isbn={978-989-758-001-7},
issn={2184-4380},
}

TY - CONF

JO - Proceedings of the 3rd International Conference on Sensor Networks - SENSORNETS
TI - Maximizing the Relevant Diversity of Social Swarming Information
SN - 978-989-758-001-7
IS - 2184-4380
AU - Terlecky, P.
AU - Jiang, Y.
AU - Xu, X.
AU - Bar-Noy, A.
AU - Govindan, R.
PY - 2014
SP - 365
EP - 372
DO - 10.5220/0004717503650372
PB - SciTePress