Article: Efficient data management for urban logistics distribution Journal: International Journal of Wireless and Mobile Computing (IJWMC) 2021 Vol.20 No.2 pp.191 - 199 Abstract: At present, the urban population accounts for an increasing proportion of the total population, and the dense urban population has also caused some problems. To solve the issue of delayed material delivery, urban logistics distribution has become one of the key solutions. With the rapid improvement of sensor nodes and wireless technique, time-series data applications become increasingly popular. In an urban logistics distribution application, the vehicles can be the sensing user while the statistics data user is the data aggregator. In many cases, the aggregator is untrusted which makes it much more difficult to protect sensing users' privacy. In this paper, we take the multi-threads smart devices into consideration, and propose a privacy-preserving protocol which largely decreases decryption computation overheads. After importing multi-threads computation, we enhance a scalable privacy-preserving data aggregation protocol to make it less time costly and more suitable for large sensing system. Inderscience Publishers - linking academia, business and industry through research

Title: Efficient data management for urban logistics distribution

Authors: Weinan Liu; Jiangjun Yuan; Zaiyang Xie; Jie Wang; Jiawen Shi

Addresses: Business & Tourism Institute, Hangzhou Vocational & Technical College, Hangzhou, Zhejiang, China ' Business & Tourism Institute, Hangzhou Vocational & Technical College, Hangzhou, Zhejiang, China ' School of Management, Zhejiang University of Technology, Hangzhou, Zhejiang, China ' School of Shangmaoliutong, Zhejiang Technical Institute of Economics, Hangzhou, Zhejiang, China ' Business & Tourism Institute, Hangzhou Vocational & Technical College, Hangzhou, Zhejiang, China

Abstract: At present, the urban population accounts for an increasing proportion of the total population, and the dense urban population has also caused some problems. To solve the issue of delayed material delivery, urban logistics distribution has become one of the key solutions. With the rapid improvement of sensor nodes and wireless technique, time-series data applications become increasingly popular. In an urban logistics distribution application, the vehicles can be the sensing user while the statistics data user is the data aggregator. In many cases, the aggregator is untrusted which makes it much more difficult to protect sensing users' privacy. In this paper, we take the multi-threads smart devices into consideration, and propose a privacy-preserving protocol which largely decreases decryption computation overheads. After importing multi-threads computation, we enhance a scalable privacy-preserving data aggregation protocol to make it less time costly and more suitable for large sensing system.

Keywords: urban logistics distribution; computation efficiency; data management; privacy-preserving data aggregation.

DOI: 10.1504/IJWMC.2021.114144

International Journal of Wireless and Mobile Computing, 2021 Vol.20 No.2, pp.191 - 199

Received: 10 Jan 2021
Accepted: 11 Feb 2021
Published online: 09 Apr 2021 *

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Title: Efficient data management for urban logistics distribution

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