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International Journal of Internet Protocol Technology, Volume 13
Volume 13, Number 1, 2020
- Qingqing Han, Liejun Wang, Yongming Lee, Jiwei Qin:
Video encryption scheme using hybrid encryption technology. 1-8 - Zhichao Wang, Liang Tang, Jun Steed Huang, Hongwei Shi, Li Bian:
Reconstruction and application of flooding routing algorithm for smart street light over wireless sensor networks. 9-17 - Adnan J. Jabir:
A low cost paging scheme for clustered PMIPv6 protocol by head-MAG entity utilisation. 18-24 - P. Jyotheeswari, N. Jeyanthi:
Hybrid encryption model for managing the data security in medical internet of things. 25-31 - Jiazhong Lu, Xiaosong Zhang, Xiaolei Liu, Teng Hu, Yu Cao:
An equalisation control method for network big data transmission based on parallel computing. 32-38 - Yuan Cheng, Yucai Zhou:
Optimal channel selection in parallel scheduling of heterogeneous network based on competitive channel non-cooperative game model. 39-45 - Minglei Song, Zhixiang Hou:
Model analysis of traffic emergency dispatching in intelligent transportation system under cloud computing. 46-54
Volume 13, Number 2, 2020
- Yu Cao:
Optimisation of classification algorithm of associated data features of large-scale network system. 55-60 - Sneha K. Thombre, Lalit Patnaik, Anil S. Tavildar:
Delay and jitter sensitivity analysis with varying TCP fraction for multiplexed internet communications. 61-77 - Chungeng Ma, Lixia Hou, Wenjing Ma:
Optimal network selection algorithms under the multi-network coexistence environment based on attribute decision. 78-84 - Junjun Liu, Jian Wu, Lanzhong Guo, Mingyang Li, Ming Zhang:
Research on intelligent scheduling strategy of elevator group under the big data platform. 85-93 - Lu Wang, Difei Jiang:
Constant temperature control system for indoor environment of buildings based on internet of things. 94-101 - Bo Wang, Yi-Wei Ma, Hong-Tao Hu:
Hybrid model for Chinese character recognition based on Tesseract-OCR. 102-108 - Jianxin Qiu, Lianguang Mo:
Low-power clustering scheduling algorithm for wireless sensor nodes in the internet of things. 109-116
Volume 13, Number 3, 2020
- Li Li:
Secure encryption algorithms for wireless sensor networks based on node trust value. 117-123 - Lixia Hou, Chungeng Ma, Lihui Yang:
A novel encryption algorithm for unstructured big data in wireless communication network. 124-130 - Dawei Luo, Jinming Liu, Zhihong Xin:
Heuristic scheduling algorithm for hybrid storage data in the cloud computing environment. 131-136 - Huikai Zheng:
Real-time monitoring system for passive energy-saving houses in the internet of things environment. 137-143 - Xiangjun Tian:
Research on quick extraction method for integrated information of intelligent transportation system scheduling based on internet of things. 144-150 - Jing Wei, Lianguang Mo:
Open interactive education algorithm based on cloud computing and big data. 151-157 - Yucai Zhou, Xiaoya Xu, Caihong Liu, Yuelin Li:
Optimisation method of MAC protocol based on SVM neural network in VANET. 158-166 - Xue Wen She:
Software design of intelligent interactive autonomous learning system. 167-175
Volume 13, Number 4, 2020
- Fen Liu, Zheng Yu, Yixi Wang, Hao Feng, Zhiyong Zha, Rongtao Liao, Ying Zhang:
Falsified data filtering method for smart grid wireless communication based on SVM. 177-183 - Jin Guo, Shengbing Zhang:
Dynamic resource adaptation method for airborne network based on multi-objective optimisation. 184-192 - Jin-Jun Ruan:
Multi-channel scheduling analysis of dynamic data in wireless networks oriented big data. 193-201 - Guoning Yue:
Design of information management system for structural monitoring based on network fragmentation. 202-210 - Lei Cui:
Research on the filtering recommendation technology of network information based on big data environment. 211-218 - Huawei Wu, Chuan Sun, Yicheng Li, Yong Kuang:
Deformation detection algorithm of shallow and large-span tunnel support structure based on wireless sensor network. 219-227 - Xiaoling Jiang, Hui Zhang, Jiaming Xu, Weicheng Wu, Xingyong Xie:
Abnormal network data mining model based on deep training learning. 228-236
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