TY - GEN
T1 - EWAIP
T2 - 3rd International Conference on Future Generation Communication Technologies, FGCT 2014
AU - Zhang, Fan
AU - Dojen, Reiner
N1 - Publisher Copyright:
© 2014 IEEE.
PY - 2014/10/21
Y1 - 2014/10/21
N2 - Internet of Things (IOT) is experiencing a super-fast growing phase. Wireless Sensor Networks (WSN), as the "five sense organs" and teleneuron of IOT, is developing fast along. Owing to the application-oriented characteristics of WSN, WSN applications may differ enormously in implementation methods. The WSN developers may have to rewrite the code for each and every application. Along with the increasing demand to WSN applications, WSN developers may have heavier tasks of programming for these applications. Thanks to TinyOS and NesC, an operating system and programming language designed especially for WSN, raises the WSN application's programming to a higher level. Large number of supported sensor hardware plus system provided and user-de-fined libraries eases WSN application programmers' jobs. How-ever, the massive amount of nodes' communication and networking, and security protection slows down the development pace. A unified and empirical WSN application implementation platform is one of the available solutions to the problem. This paper introduces an empirical WSN application implementation platform, which avails the WSN developers build an application with unified code template and network packet generation and processing strategies.
AB - Internet of Things (IOT) is experiencing a super-fast growing phase. Wireless Sensor Networks (WSN), as the "five sense organs" and teleneuron of IOT, is developing fast along. Owing to the application-oriented characteristics of WSN, WSN applications may differ enormously in implementation methods. The WSN developers may have to rewrite the code for each and every application. Along with the increasing demand to WSN applications, WSN developers may have heavier tasks of programming for these applications. Thanks to TinyOS and NesC, an operating system and programming language designed especially for WSN, raises the WSN application's programming to a higher level. Large number of supported sensor hardware plus system provided and user-de-fined libraries eases WSN application programmers' jobs. How-ever, the massive amount of nodes' communication and networking, and security protection slows down the development pace. A unified and empirical WSN application implementation platform is one of the available solutions to the problem. This paper introduces an empirical WSN application implementation platform, which avails the WSN developers build an application with unified code template and network packet generation and processing strategies.
KW - Empirical Implementation Platform
KW - Wireless Sensor Networks
UR - http://www.scopus.com/inward/record.url?scp=84912024946&partnerID=8YFLogxK
U2 - 10.1109/FGCT.2014.6933226
DO - 10.1109/FGCT.2014.6933226
M3 - Conference contribution
AN - SCOPUS:84912024946
T3 - 3rd International Conference on Future Generation Communication Technologies, FGCT 2014
SP - 72
EP - 77
BT - 3rd International Conference on Future Generation Communication Technologies, FGCT 2014
PB - Institute of Electrical and Electronics Engineers Inc.
Y2 - 13 August 2014 through 15 August 2014
ER -