In industrial setups, there will wired sensors,
wireless sensor and embedded devices which forms a
heterogeneous programmable distributed system. To
reconfigure devices each time user needs to develop the new
code, For node reconfiguration. This require programming
expertise. In this paper, we are trying to explore various
technologies and techniques that may prove useful in developing
a reconfigurable industrial system. To develop such a system,
various methodological aspects are involved. They include
clustering of the various systems, their communication, their
reconfiguring engines, etc. Also, various API techniques that
facilitate this reconfigurable facility are studied in this paper.
We explore various existing technologies, devices, and
techniques, which have been developed or are under
development and study them for possible viability of use for our
project.
Anupama Gomkale : Department of Computer Science and Engineering, Rashtrasant Tukdoji Maharaj Nagpur University
G. H. Raisoni Institution of Engineering & Technology for Women,
Nagpur, Maharashtra, India
Ranjana Shende : Department of Computer Science and Engineering, Rashtrasant Tukdoji Maharaj Nagpur University
G. H. Raisoni Institution of Engineering & Technology for Women,
Nagpur, Maharashtra, India
Heterogeneous system
We have reviewed various technologies and techniques
and have come up with the most viable options .These
include Clustering of systems based on sensor actuator
classification. Using local intranet as a replacement of
localized IoT, thus developing a scalable model.
Minimization of middleware configuration resulting in a
direct configurable cluster system with high level of
abstraction. We will develop our own API and end user
software to enable reconfiguring of the entire industrial
system without the need to reprogram.
[1] José Cecilio and Pedro Furtado, “Architecture for
Uniform (Re)Configuration and Processing Over
Embedded Sensor and Actuator Networks,” IEEE
TRANSACTIONS ON INDUSTRIAL
INFORMATICS, VOL. 10, NO. 1, FEBRUARY 2014.
[2] Qingping Chi, Hairong Yan, Chuan Zhang, Zhibo
Pang, and Li Da Xu, Senior Member, IEEE “A
Reconfigurable Smart Sensor Interface for Industrial
WSN in IoT Environment,” IEEE TRANSACTIONS
ON INDUSTRIAL INFORMATICS, VOL. 10, NO. 2,
MAY 2014.
[3] H. Hinkelmann, P. Zipf, and M. Glesner, “Design
concepts for a dynamically reconfigurable wireless
sensor node,” in Proc. 1st NASA/ESA Conf. Adaptive
Hardware Syst., Jun. 2006, pp. 436–441.
[4] C.-L. Fok, G.-C. Roman, and C. Lu, “Agilla: A mobile
agent middleware for self-adaptive wireless sensor
networks,” ACM Trans. Auton. Adaptive Syst., vol. 4,
no. 3, pp. 1–26, 2009, Art. 16.
[5] M. Rossi, G. Zanca, L. Stabellini, R. Crepaldi, A. F.
Harris, and M. Zorzi, “Synapse: A network
reprogramming protocol for wireless sensor networks
using fountain codes,” in Proc. 5th Annu. IEEE
Commun. Soc. Conf., 2008, pp. 188–196.
[6] A. Hagedorn, D. Starobinski, and A. Trachtenberg,
“Rateless deluge: Over-the-air programming of
wireless sensor networks using random linear codes,”
in Proc. IEEE Int. Conf. Inf. Process. Sensor
Networks, Apr. 2008, pp. 477–466.
[7] E. Monmasson and M. N. Cirstea, “FPGA design
methodology for industrial control systems—A
review,” IEEE Trans. Ind. Electron., vol. 54, no. 4,
pp. 1824–1842, Aug. 2011.
[8] A. Rowe, M. Berges, G. Bhatia, E. Goldman, R.
Rajkumar, L. Soibelman, J. Garrett, and J. Moura,
“Sensor Andrew: Large-scale campus-wide sensing
and actuation,” IBM J. Res. Develop., vol. 1, pp. 1–6,
2010.
[9] C.-L. Fok, G.-C. Roman, and C. Lu, “Agilla: A mobile
agent middleware for self- adaptive wireless sensor
networks,” ACM Trans. Auton. Adaptive Syst., vol. 4,
no. 3, pp. 1–26, 2009, Art. 16.
[10] M. Rossi, G. Zanca, L. Stabellini, R. Crepaldi, A. F.
Harris, and M. Zorzi, “Synapse: A network
reprogramming protocol for wireless sensor networks
using fountain codes,” in Proc. 5th Annu. IEEE
Commun. Soc. Conf., 2008, pp. 188–196.
