TY  - JOUR
T1  - Recent Advances of Data Compression in Wireless Sensor Network
AU - Y. Tuama, Ammar AU - A. Mohamed, Mohamad AU - Muhammed, Abdullah AU - M. Hanapi, Zurina AU - R. Mohamed, Rajina AU - A. Abu Bakar, Khairul 
JO  - Journal of Engineering and Applied Sciences
VL  - 13
IS  - 21
SP  - 9002
EP  - 9015
PY  - 2018
DA  - 2001/08/19
SN  - 1816-949x
DO  - jeasci.2018.9002.9015
UR  - https://makhillpublications.co/view-article.php?doi=jeasci.2018.9002.9015
KW  - Wireless sensor networks
KW  -various
KW  -efficiency
KW  -solution
KW  -disaster
KW  -approach
AB  - Wireless Sensor Networks (WSNs) have emerged as one of the most promising wireless
communication systems supporting wide variety of applications ranging from military tasks, healthcare, disaster
prediction and indoor positioning. The low complexity and cost of the nodes result in constraints such as
computational power, communication bandwidth and battery power. Energy consumption is one of the most
critical to WSN. In WSN communication, data transmission is considered the largest contributor to total energy
exhaustion and apparently, it is influenced by the size of the data. Favorably, data compression can be used
to reduce the amount of data that requires to be transmitted and hence prolongs sensor's lifetime. In this study,
we survey various approaches, issues and challenges to WSN efficiency related to data compression discuss
the effect of the data size on the sensor efficiency and how data compression algorithms can be used to address
small size data transmission. Finally, recent approaches are reviewed with highlighting of advantages and
disadvantages of each solution.
ER  -