DocumentCode :
143719
Title :
High-level abstractions in wireless sensor networks: Status, taxonomy, challenges, and future directions
Author :
Alajlan, Abrar M. ; Elleithy, Khaled M.
Author_Institution :
Dept. of Comput. Sci. & Eng., Univ. of Bridgeport, Bridgeport, CT, USA
fYear :
2014
fDate :
3-5 April 2014
Firstpage :
1
Lastpage :
7
Abstract :
Wireless sensor networks (WSNs) have gained a lot of considerations in recent years and have significant impacts on different application areas. Wireless sensors have been successfully deployed in different computing environments to measure, gather and process the raw information in the sensing area to the observers. Sensor networks provide infinite opportunities, but at the same time pose rough challenges due to the sensors´ characteristics and the operating conditions of these sensors. This paper provides an extensive study of the current state-of-art in programming wireless sensor network, presenting a classification of programming levels in the field and highlighting some likely programming challenges and research future directions.
Keywords :
wireless sensor networks; WSN; application areas; computing environments; high-level abstractions; operating conditions; programming levels; sensing area; wireless sensor networks; Collaboration; Programming; Scalability; Sensor phenomena and characterization; Synchronization; Wireless sensor networks; Macroprogramming; Programming Approaches; Programming Challenges; Sensor Network;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
American Society for Engineering Education (ASEE Zone 1), 2014 Zone 1 Conference of the
Conference_Location :
Bridgeport, CT
Print_ISBN :
978-1-4799-5232-8
Type :
conf
DOI :
10.1109/ASEEZone1.2014.6820645
Filename :
6820645
Link To Document :
بازگشت