Title:
FUZZY C-MEANS-BASED ADAPTIVE ENERGY CONSUMPTION OPTIMIZATION VEHICLE CLUSTERING METHOD
Document Type and Number:
WIPO Patent Application WO/2021/237996
Kind Code:
A1
Abstract:
A fuzzy C-means-based adaptive energy consumption optimization vehicle clustering method, comprising the following steps: connecting vehicles into an ad hoc network; determining a neighbor list of each vehicle by means of angle-based neighbor detection for the vehicle; determining the number of clusters in vehicle clustering according to an adaptive energy consumption optimization model; dividing the vehicles into clusters by using a fuzzy C-means algorithm; and selecting a cluster head vehicle by using a vehicle moving direction, a weighted mobility value, and an entropy value as measurement standards of a weighted clustering algorithm, and obtaining a stable network by optimizing a cluster head election process. The method improves the stability of a vehicular ad hoc network, balances the power consumption, and reduces the network overhead.
Inventors:
YANG HONGWEI (CN)
YE JIAN (CN)
SONG ZHIJUN (CN)
YE JIAN (CN)
SONG ZHIJUN (CN)
Application Number:
PCT/CN2020/117628
Publication Date:
December 02, 2021
Filing Date:
September 25, 2020
Export Citation:
Assignee:
DUOLUN TECH CORPORATION LTD (CN)
International Classes:
G06K9/62
Foreign References:
| CN111626352A | 2020-09-04 | |||
| CN107426694A | 2017-12-01 | |||
| CN110677864A | 2020-01-10 | |||
| CN103873485A | 2014-06-18 | |||
| CN108770029A | 2018-11-06 | |||
| CN110312278A | 2019-10-08 |
Attorney, Agent or Firm:
NANJING JINGWEI PATENT & TRADEMARK AGENCY CO., LTD (CN)
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