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Web Tool for Path Analysis in Wireless Sensor Networks to Improve Their Performance

Published: 12 November 2018 Publication History

Abstract

Wireless Sensor Networks (WSNs) are based on tiny autonomous devices, usually named motes or nodes, and are used in many monitoring applications, such as environment, habitat, precision horticulture, etc. These motes are power-limited and most energy is wasted through the communication process when exchanging data packets. Because these motes are quite simple, with low power transmission and simple antennas, these networks usually run multihop routing protocols in order to forward packets between one mote to the sink, or the collector node, using the other motes as relaying motes. Basically, these routing protocols try to find out new routes within these wireless network, optimizing different criteria, such as number of hops, network life time, throughput, etc. However, if something is going wrong within the network (big interferences, problems in one node, unstable routes, etc.), due to the lack of information retrieved related to management purpose, it is difficult to fix it and many times the outcome is critical, leaving the network out of service. To avoid these issues, we show in this paper a web tool for path monitoring and analysis within the WSN in order to improve their performance and to plan ahead this kind of problems. In this paper, we show the different alternatives in the design of this tool and the different rules applied when trying to find out the inner problems in the network. In this kind of network, using the routing packets, we can get further information of the inner problems and infer them based on the statistics and rules applied.

References

[1]
Manuel Delamo, Santiago Felici-Castell, Andrew Foster, Juan J. Pérez-Solano, and Vicent Gallart. 2010. Environmental Monitoring Application for Wireless Sensor Networks. http://tinyos.cvs.sourceforge.net/viewvc/tinyos/tinyos-2.x-contrib/uni_valencia/ema/.
[2]
Manuel Delamo, Santiago Felici-Castell, Juan J. Pérez-Solano, and Andrew Foster. 2015. Designing an open source maintenance-free Environmental Monitoring Application for Wireless Sensor Networks. Journal of Systems and Software 103 (2015), 238--247.
[3]
Omprakash Gnawali, Rodrigo Fonseca, Kyle Jamieson, David Moss, and Philip Levis. 2009. Collection Tree Protocol. In Proceedings of the 7th ACM Conference on Embedded Networked Sensor Systems (SenSys '09). ACM, New York, NY, USA, 1--14.
[4]
Jason Hill, Robert Szewczyk, Alec Woo, Seth Hollar, David Culler, and Kristofer Pister. 2000. System Architecture Directions for Networked Sensors. SIGPLAN Not. 35, 11 (Nov. 2000), 93--104.
[5]
IEEE. 2006. Standard 802.15.4-2006. http://www.ieee802.org/15/pub/TG4.html. Accessed: 14/01/2014.
[6]
IEEE. 2012. Standard 802.15.4e-2012, Amendment 1: MAC sublayer. http://www.ieee802.org/15/pub/TG4.html.
[7]
Linear Technology, Product Group. 2014. Dust Networks. http://www.linear.com/products/wireless_sensor_networks_-_dust_networks. Accessed: 20/11/2014.
[8]
Yunhao Liu, Yuan He, Mo Li, Jiliang Wang, Kebin Liu, and Xiangyang Li. 2013. Does Wireless Sensor Network Scale? A Measurement Study on GreenOrbs. Parallel and Distributed Systems 24, 10 (Oct 2013), 1983--1993.
[9]
Joseph Polastre, Robert Szewczyk, and David Culler. 2005. Telos: Enabling Ultra-low Power Wireless Research. In Proceedings of the 4th International Symposium on Information Processing in Sensor Networks (IPSN '05). IEEE Press, Piscataway, NJ, USA, Article 48, 364--369 pages. http://dl.acm.org/citation.cfm?id=1147685.1147744
[10]
J. Segura-Garcia, S. Felici-Castell, J. J. Perez-Solano, M. Cobos, and J. M. Navarro. 2015. Low-Cost Alternatives for Urban Noise Nuisance Monitoring Using Wireless Sensor Networks. IEEE Sensors Journal 15, 2 (Feb 2015), 836--844.
[11]
W. Si, M. Hashemi, L. Xin, D. Starobinski, and A. Trachtenberg. 2015. TeaCP: A Toolkit for Evaluation and Analysis of Collection Protocols in Wireless Sensor Networks. IEEE Transactions on Network and Service Management 12, 2 (June 2015), 293--307.
[12]
Girts Strazdins, Atis Elsts, Krisjanis Nesenbergs, and Leo Selavo. 2013. Wireless Sensor Network Operating System Design Rules Based on Real-World Deployment Survey. Journal of Sensor and Actuator Networks 2, 3 (2013), 509--556.

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      cover image ACM Other conferences
      EATIS '18: Proceedings of the Euro American Conference on Telematics and Information Systems
      November 2018
      297 pages
      ISBN:9781450365727
      DOI:10.1145/3293614
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      Published: 12 November 2018

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      Author Tags

      1. PHP
      2. SQL queries
      3. Wireless sensor networks
      4. maintenance
      5. performance
      6. topology
      7. web tool

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