Virtualization in wireless sensor networks: fault tolerant embedding for internet of things

Kaiwartya, O ORCID: https://orcid.org/0000-0001-9669-8244, Abdullah, AH, Cao, Y, Lloret, J, Kumar, S, Shah, RR, Prasad, M and Prakash, S, 2018. Virtualization in wireless sensor networks: fault tolerant embedding for internet of things. IEEE Internet of Things Journal, 5 (2), pp. 571-580. ISSN 2327-4662

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Abstract

Recently, virtualization in wireless sensor networks (WSNs) has witnessed significant attention due to the growing service domain for Internet of Things (IoT). Related literature on virtualization in WSNs explored resource optimization without considering communication failure in WSNs environments. The failure of a communication link in WSNs impacts many virtual networks running IoT services. In this context, this paper proposes a framework for optimizing fault tolerance (FT) in virtualization in WSNs, focusing on heterogeneous networks for service-oriented IoT applications. An optimization problem is formulated considering FT and communication delay as two conflicting objectives. An adapted nondominated sorting-based genetic algorithm (A-NSGA) is developed to solve the optimization problem. The major components of A-NSGA include chromosome representation, FT and delay computation, crossover and mutation, and nondominance-based sorting. Analytical and simulation-based comparative performance evaluation has been carried out. From the analysis of results, it is evident that the framework effectively optimizes FT for virtualization in WSNs.

Item Type:	Journal article
Publication Title:	IEEE Internet of Things Journal
Creators:	Kaiwartya, O., Abdullah, A.H., Cao, Y., Lloret, J., Kumar, S., Shah, R.R., Prasad, M. and Prakash, S.
Publisher:	Institute of Electrical and Electronics Engineers
Date:	2018
Volume:	5
Number:	2
ISSN:	2327-4662
Identifiers:	Number Type 10.1109/jiot.2017.2717704 DOI
Divisions:	Schools > School of Science and Technology
Record created by:	Jonathan Gallacher
Date Added:	06 Aug 2018 09:00
Last Modified:	06 Aug 2018 09:00
URI:	https://irep.ntu.ac.uk/id/eprint/34245

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