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Pocket-switch-network based services optimization in crowdsourced delivery systems

delete2017-08-01
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PRE
AI
C
Chijun Zhang
Z
Zhanwei Du *
M
Milan Parmar
Y
Yuan Bai
DOI:10.1016/j.compeleceng.2017.05.034delete
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Abstract

Abstract

En 中文
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. (C) 2017 Published by Elsevier Ltd.
Keywords:
Crowdsourced delivery
Pocket switch network
Travel route optimization
Control policies
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Journal

C
Computers and Electrical Engineering
IF:
4.9
Papers:
6.7K
Citations:
1.3W

Organization

J
jilin university of finance & economics
Scholars:
288
Papers: 221
Citations: 1