Efficient data management for urban logistics distribution Online publication date: Fri, 09-Apr-2021
by Weinan Liu; Jiangjun Yuan; Zaiyang Xie; Jie Wang; Jiawen Shi
International Journal of Wireless and Mobile Computing (IJWMC), Vol. 20, No. 2, 2021
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.
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