Energy efficient wireless sensor network communications based on computational intelligent data fusion for environmental monitoring
Energy efficient wireless sensor network communications based on computational intelligent data fusion for environmental monitoring
- Author(s): D.F. Larios ; J. Barbancho ; G. Rodríguez ; J.L. Sevillano ; F.J. Molina ; C. León
- DOI: 10.1049/iet-com.2011.0809
For access to this article, please select a purchase option:
Buy article PDF
Buy Knowledge Pack
IET members benefit from discounts to all IET publications and free access to E&T Magazine. If you are an IET member, log in to your account and the discounts will automatically be applied.
Thank you
Your recommendation has been sent to your librarian.
- Author(s): D.F. Larios 1 ; J. Barbancho 1 ; G. Rodríguez 1 ; J.L. Sevillano 2 ; F.J. Molina 1 ; C. León 1
-
-
View affiliations
-
Affiliations:
1: Department of Electronics Technology, Universidad de Sevilla, Seville, Spain
2: Department of Computer Technology and Architecture, University of Seville, Seville, Spain
-
Affiliations:
1: Department of Electronics Technology, Universidad de Sevilla, Seville, Spain
- Source:
Volume 6, Issue 14,
25 September 2012,
p.
2189 – 2197
DOI: 10.1049/iet-com.2011.0809 , Print ISSN 1751-8628, Online ISSN 1751-8636
The study presents a novel computational intelligence algorithm designed to optimise energy consumption in an environmental monitoring process: specifically, water level measurements in flooded areas. This algorithm aims to obtain a trade-off between accuracy and power consumption. The implementation constitutes a data aggregation and fusion in itself. A harsh environment can make the direct measurement of flood levels a difficult task. This study proposes a flood level estimation, inferred through the measurement of other common environmental variables. The benefit of this algorithm is tested both with simulations and real experiments conducted in Doñana, a national park in southern Spain where flood level measurements have traditionally been done manually.
Inspec keywords: power consumption; wireless sensor networks; environmental monitoring (geophysics); sensor fusion
Other keywords:
Subjects: Wireless sensor networks; Sensing devices and transducers
References
-
-
1)
- J. Lin , N. Xiong , A.V. Vasilakos , G. Chen , W. Guo . Evolutionary game-based data aggregation model for wireless sensor networks. Commun. IET , 12 , 1691 - 1697
-
2)
- Ma, L., Xing, T., Wang, X., Song, J.: `IEEE 802.11b-based access scheme with coordinated sleeping for wireless sensor networks', Twentieth Int. Symp. on Personal, Indoor and Mobile Radio Communications, Tokyo, Japan, p. 2106–2110.
-
3)
- Scaglione, A., Servetto, S.D.: `On interdependence of routing and data compression in multi-hop sensor networks', Proc. 8th Annual ACM/IEEE Int. Conf. on Mobile Computing and Networking (MobiCom 02), 2002, Atlanta, Georgia.
-
4)
- Polastre, J., Szewczyk, R., Culler, D.: `Telos: Enabling ultra-low power wireless research', Fourth Int. Symp. on Information Processing in Sensor Networks (IPSN), April 2005, Los Angeles, CA, p. 364–369.
-
5)
- R. Machado , N. Ansari , G. Wang , S. Tekinay . Adaptive density control in heterogeneous wireless sensor networks with and without power management. IET Commun. , 7 , 758 - 767
-
6)
- W. Ye , J.S. Heidemann , D. Estrin . Medium access control with coordinated adaptive sleeping for wireless sensor networks. IEEE/ACM Trans. Netw. , 3 , 493 - 506
-
7)
- F.a. Sivrikaya , B.b. Yener . Time synchronization in sensor networks: a survey. IEEE Network , 4 , 45 - 50
-
8)
- Rabbat, M., Nowak, R.: `Distributed optimization in sensor networks', Proc. of the 3rd Int. Symp. on Information Sensor Networks (IPSN), April 2004, Berkeley, CA., USA.
-
9)
- M.S. Obaidat , S. Misra . Introduction, Cooperative Networking.
-
10)
- C.-Y. Chong , S.P. Kumar . Sensor networks: evolution, opportunities, and challenges. Proc. IEEE , 8 , 1247 - 1256
-
11)
- L. Ruiz-Garcia , L. Lunadei , P. Barreiro , I. Robla . A review of wireless sensor technologies and applications in agriculture and food industry: state of the art and current trends. Sensors , 6 , 4728 - 4750
-
12)
- H.-H. Yen , C.-L. Lin . Integrated channel assignment and data aggregation routing problem in wireless sensor networks. IET Commun. , 5 , 784 - 793
-
13)
- L. Yonghe , S.K. Das . Information-intensive wireless sensor networks: potential and challenges. IEEE Commun. Mag. , 11 , 142 - 147
-
14)
- T. Kohonen . The self-organizing map. Proc. IEEE , 9 , 1464 - 1480
-
15)
- Gnawali, O., Fonseca, R., Jamieson, K., Moss, D., Levis, P.: `Collection Tree Protocol', SenSys, 2009, Berkeley, CA, USA.
-
16)
- J. Barbancho , C. León , F.J. Molina , A. Barbancho . A new QoS routing algorithm based on self-organizing maps for wireless sensor networks. Telecommun. Syst. , 73 - 83
-
17)
- Mora, J.M., Molina, F.J., Larios, D.F., Rodriguez, G., Barbancho, J., León, C.: `Architecture for environmental data accsess', Proc. Int. Conf. on Data Communication Networking. Int. Joint Conf. on e-Business and Telecommunications (ICETE), 2011, Spain, p. 102–106.
-
18)
- Guo, Y., Hong, F., Guo, Z., Jin, Z., Feng, Y.: `EDA: Event-oriented data aggregation in sensor networks', IEEE 28th Int. Performance Conf. on Computing and Communications (IPCCC), December 2009, p. 25–32, ISSN 1097-2641.
-
19)
- Q. Huang , C. Liu , C. Guo . Reliable aggregation routing for wireless sensor networks based on game theory.
-
20)
- I.F. Akyildiz , W. Su , Y. Sankarasubramaniam , E. Çayirci . (2002) Wireless sensor networks: a survey.
-
21)
- http://www.iar.com/en/Products/IAR-Embedded-Workbench/TI-MSP430, accessed October 2011.
-
22)
- Vijayanand, S., Suresh, R.M.: `An overlook on routing techniques in wireless sensor networks', Int. Conf. on Information and Communication Technology in Electrical Sciences (ICTES), 2007, Chennai, Tamil Nadu, India, 3719, p. 940–945.
-
23)
- F. Zabin , S. Misra , I. Woungang , H.F. Rashvand , N.-W. Ma , A.M. Ali . REEP: data-centric, energy-efficient and reliable routing protocol for wireless sensor networks. IET Commun. , 8 , 995 - 1008
-
24)
- H. Deng , B. Zhang , J. Zheng . Rate-constrained uniform data collection in wireless sensor networks. Commun. IET , 5 , 1343 - 1350
-
25)
- J.a. Esteban , A.a. Starr , R.a. Willetts , P.a. Hannah , P.b. Bryanston-Cross . A review of data fusion models and architectures: Towards engineering guidelines. Neural Comput. Appl. , 4 , 273 - 281
-
26)
- Steinberg, A.N., Bowman, C.L., White, F.E.: `Time synchronization in sensor networks: A survey', Proc. of SPIE – Int. Soc. Opt. Eng., 1999, 3719, p. 430–441.
-
1)
Related content
