The availability of tools to diagnose Wireless Sensor Network (WSN) failures is a key success factor for this type of networks as already demonstrated by several long-running deployments. By nature, WSNs are resource-constrained, fragile, complex to analyse, and failure-prone. Naturally, with the growing number of installations, it is becoming fundamental to efficiently diagnose failures as soon as possible, in order to deal with the underlying causes. In accordance with this, from 2005 onwards, the offer of diagnostic tools has been increasing, as the other base technologies (e.g. networking, operating system, localisation, synchronisation) become reasonably stable. The purpose of this survey is to provide an overview of existing post-deployment WSN diagnostic tools, by briefly presenting their functionality, architecture and constraints, in order to enable a basic understating of each tool. The survey also includes a multi-dimensional comparative analysis of the various tools, based on a proposed classification scheme and evaluation criteria, as well as an identification of the main open research issues. Although the number of diagnostic tools is high and considerable work has been done in this area, we conclude that there are still several challenges concerning post-deployment WSN diagnostic tools, regarding scope, flexibility, generality, mobility and security. Moreover, there is a need for mature, native diagnostic-oriented functionality in WSN platforms and operating systems.
Journal of Network and Systems Management, Vol. 21, #3, pp. 408-452, Springer, September 2013
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Year 2015 : 5 citations
Navia, M.; Bonastre, A.; Campelo, J.C.; “Hybrid Monitoring Proposal for Wireless Sensor Network”, Proceedings of APCASE 2015 - Asia-Pacific Conference on Computer Aided System Engineering, Quito, 14-16 July 2015. DOI: 10.1109/APCASE.2015.63.
Marlon Renné Navia Mendoza, “Monitoring Wireless Sensor Network Nodes with a Low Intrusion Hybrid Monitor”, MSc thesis, Universidad Politécnica de Valencia, Spain, February 2015.
Marlon Navia, Jose C. Campelo, Alberto Bonastre, Rafael Ors, Juan V. Capella, and Juan J. Serrano, “Active Low Intrusion Hybrid Monitor for Wireless Sensor Networks”, Sensors 2015, 15(9), 23927-23952; doi:10.3390/s150923927, September 2015.
P. B. Lohiya, K. H. Deshmukh, S. G. Pundkar, “Scheduling Algorithms for Wireless Sensor Network Using Cheddar Simulation Tool”, IJCAT - International Journal of Computing and Technology, ISSN : 2348 – 6090, Volume 2, Issue 10, October 2015.
Yue Zhang, Nicola Dragoni, and Jiangtao Wang, “A Framework and Classification for Fault Detection Approaches in Wireless Sensor Networks with an Energy Efficiency Perspective”, Hindawi Publishing Corporation, International Journal of Distributed Sensor Networks, Volume 2015, Article ID 678029, 11 pages http://dx.doi.org/10.1155/2015/678029, 2015.
Year 2014 : 3 citations
D.G.Harkut, M. S.Ali and P.B.Lohiya, “Scheduling Task of Wireless Sensor Network Using Earliest Deadline First Algorithm”, International Journal of Scientific Research in Computer Science and Engineering, ISSN: 2320-7639, Vol. 2 Issues 2, 2014.
D.G.Harkut, M. S. Ali, Poonan Lohiya, “Real-Time Scheduling Algorithms for Wireless Sensor Network”, Circuits and Systems: An International Journal (CSIJ), Vol. 1, No. 1, January 2014.
Yazid Benazzouz, Oum-El-keir Aktouf, Ioannis Parissis, “A fault fuzzy-ontology for large scale fault-tolerant wireless sensor networks”, KES2014 - 18th International Conference on Knowledge-Based and Intelligent Information & Engineering Systems, Procedia Computer Science 35 (2014) 203 – 212, Elsevier, 2014.
Year 2013 : 5 citations
De Vito, L., Di Candia, F. P., Picariello, F., Riccio, M., & Tudosa, I., “Designing of fault management system for Wireless Active Guardrail System”, 12th IMEKO TC10 Workshop on Technical Diagnostics New Perspectives in Measurements, Tools and Techniques for Industrial Applications, Florence, Italy, June 6-7, 2013
Dr. D. G. Harkut, Dr. M. S. Ali, MS. Poonam Lohiya, “Real-time Scheduler For Wireless Sensor Network: A Review”, International Journal of Engineering Research & Technology (IJERT), ISSN: 2278-0181, Vol. 2 Issue 12, December 2013.
V.Chandrasekaran, S. Anitha, A.Shanmugam, “A Research Survey on Experimental Tools for Simulating Wireless Sensor Networks”, International Journal of Computer Applications (0975 – 8887) Volume 79 – No 16, October 2013.
Giovani Rimon Abuaitah, “Anomalies in Sensor Network Deployments: Analysis, Modeling, And Detection”, PhD thesis, Wright State University, USA, June 2013.
“New Network and Systems Management Study Findings Have Been Reported from University of Coimbra”, VerticalNews, Telecommunications, Available at http://telecommunications.verticalnews.com/articles/9911328.html , 29 July 2013.
