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- Publisher Website: 10.1016/j.compeleceng.2017.05.034
- Scopus: eid_2-s2.0-85028470292
- WOS: WOS:000413881700005
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Article: Pocket-switch-network based services optimization in crowdsourced delivery systems
Title | Pocket-switch-network based services optimization in crowdsourced delivery systems |
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Authors | |
Keywords | Crowdsourced delivery Pocket switch network Control policies Travel route optimization |
Issue Date | 2017 |
Citation | Computers and Electrical Engineering, 2017, v. 62, p. 53-63 How to Cite? |
Abstract | © 2017 There are two major issues in spatial crowdsourcing: travel route optimization and control policies. To address the two issues above, we introduce the concept of Pocket switch network (PSN) into the CD-system. First, we formulate a generalized optimization problem into three aspects of connectivity, profit and risk, motivated by the concepts in PSN. Afterward, these three aspects are mathematically described and optimized by a routing algorithm based on dynamic mobility and social graph. This algorithm consists of two parts: social graph extraction and social mobility based routing. Social graph learns the social knowledge of each patrician while social mobility based routing decides the leaving nodes of the passages according to their social graph. Finally, we evaluated the effectiveness and robustness of the proposed method on the realistic traces. The results demonstrated its superior performance in connectivity, profit, and risk. |
Persistent Identifier | http://hdl.handle.net/10722/296155 |
ISSN | 2023 Impact Factor: 4.0 2023 SCImago Journal Rankings: 1.041 |
ISI Accession Number ID |
DC Field | Value | Language |
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dc.contributor.author | Zhang, Chijun | - |
dc.contributor.author | Du, Zhanwei | - |
dc.contributor.author | Parmar, Milan Deepak | - |
dc.contributor.author | Bai, Yuan | - |
dc.date.accessioned | 2021-02-11T04:52:57Z | - |
dc.date.available | 2021-02-11T04:52:57Z | - |
dc.date.issued | 2017 | - |
dc.identifier.citation | Computers and Electrical Engineering, 2017, v. 62, p. 53-63 | - |
dc.identifier.issn | 0045-7906 | - |
dc.identifier.uri | http://hdl.handle.net/10722/296155 | - |
dc.description.abstract | © 2017 There are two major issues in spatial crowdsourcing: travel route optimization and control policies. To address the two issues above, we introduce the concept of Pocket switch network (PSN) into the CD-system. First, we formulate a generalized optimization problem into three aspects of connectivity, profit and risk, motivated by the concepts in PSN. Afterward, these three aspects are mathematically described and optimized by a routing algorithm based on dynamic mobility and social graph. This algorithm consists of two parts: social graph extraction and social mobility based routing. Social graph learns the social knowledge of each patrician while social mobility based routing decides the leaving nodes of the passages according to their social graph. Finally, we evaluated the effectiveness and robustness of the proposed method on the realistic traces. The results demonstrated its superior performance in connectivity, profit, and risk. | - |
dc.language | eng | - |
dc.relation.ispartof | Computers and Electrical Engineering | - |
dc.subject | Crowdsourced delivery | - |
dc.subject | Pocket switch network | - |
dc.subject | Control policies | - |
dc.subject | Travel route optimization | - |
dc.title | Pocket-switch-network based services optimization in crowdsourced delivery systems | - |
dc.type | Article | - |
dc.description.nature | link_to_subscribed_fulltext | - |
dc.identifier.doi | 10.1016/j.compeleceng.2017.05.034 | - |
dc.identifier.scopus | eid_2-s2.0-85028470292 | - |
dc.identifier.volume | 62 | - |
dc.identifier.spage | 53 | - |
dc.identifier.epage | 63 | - |
dc.identifier.isi | WOS:000413881700005 | - |
dc.identifier.issnl | 0045-7906 | - |