Abstract
This paper investigates the truthfulness establishment problem between two nodes (vehicles) in a vehicular network. We focus more on the case when no interaction has been conducted and we use the Point of Interests (POIs) visited by the two nodes (vehicles) to establish the initial truthfulness. It turns out that this is a general version of a well-studied problem in computational genomics called CMSR (Complementary Maximal Strip Recovery) in which the letters (similar to POIs) cannot be duplicated, while in our problem POIs could certainly be duplicated. We show that one version (when noisy POIs are deleted all the remaining POIs must be involved in some adjacency), is NP-hard; while the other version (with the adjacency involvement constraint is dropped), is as hard as Set Cover. We then design a practical solution based on local search for the first problem. Simulations with various synthetic data show that the algorithm is very effective.
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Acknowledgments
This research was supported by NSF under project CNS-1761641 and by NNSF of China under project 61628207. Peng Zou was also supported by a COE Benjamin PhD Fellowship at Montana State University.
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Qingge, L., Zou, P., Dai, L., Yang, Q., Zhu, B. (2019). Trajectory Comparison in a Vehicular Network II: Eliminating the Redundancy. In: Biagioni, E., Zheng, Y., Cheng, S. (eds) Wireless Algorithms, Systems, and Applications. WASA 2019. Lecture Notes in Computer Science(), vol 11604. Springer, Cham. https://doi.org/10.1007/978-3-030-23597-0_21
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