ADAPTIVE COMPRESSION OF MEASURED DATA IN WIRELESS SENSOR NETWORKS 

Boris Ya. Likhttsinder, Doctor of technical sciences, professor, professor of sub-department of network and communication systems, Volga Region State University of Telecommunications and Informatics (23 L. Tolstogo street, Samara, Russia), E-mail: lixt@psuti.ru
Yulia O. Bakai, Student, Volga Region State University of Telecommunications and Informatics (23 L. Tolstogo street, Samara, Russia), E-mail: ov.bakai@gmail.com 

004.627 

10.21685/2307-5538-2021-1-6 

Background. The network topology is changing, the network is becoming self-organising and new special protocols are required for its operation. The paper discusses the concept of wireless sensor networks (WSNs).
Materials and methods. The paper proposes methods of data compression in wireless sensor networks (WSN). It describes methods and algorithms of sensing data compression.
Results. Five categories of compression methods are presented, including chaining-based compression, image-based compression, distributed-source coding, and aggregation-based compression. The adaptive compression method suggested by the author is discussed in details. The peculiarities of the presented algorithms are pointed out.
Conclusions. The effectiveness of application of the "hole-bucket" algorithm for adaptive compression is shown. The structure implementing the mentioned algorithm is considered. The advantages of introducing adaptation in data compression in WSN are shown. 

sensor networks, data compression, adaptation, algorithms, sensors