Abstract
The wireless sensor network (WSN) technology has applied in monitoring natural disasters for more than one decade. Disasters can be closely monitored by augmenting a variety of sensors, and WSN has merits in (1) low cost, (2) quick response, and (3) salability and flexibility. Natural disaster monitoring with WSN is a well-known data intensive application for the high bandwidth requirements and stringent delay constraints. It manifests a typical paradigm of data-intensive application upon low-cost scalable system. In this study, we first assessed representative works in this area by classifying those in the domains of application of WSNs for disasters and optimization technologies significantly distinguishing these from general-purpose WSNs. We then described the design of an early warning system for geohazards in reservoir region, which relies on the WSN technology inspired by the existing work with focuses on issues of (1) supporting reliable data transmission, (2) handling huge data of heterogeneous sources and types, and (3) minimizing energy consumption. This study proposes a dynamic routing protocol, a method for network recovery, and a method for managing mobile nodes to enable real-time and reliable data transmission. The system incorporates data fusion and reconstruction approaches to bring together all data into a single view of the geohazard under monitoring. A distributed algorithm for joint optimal control of power and rate has been developed, which can improve utility of network (> 95 %) and to minimize the energy consumption (reduction by > 20 % in comparison with LEACH). Experimental results indicate the potentials of the proposed approaches in terms of adapting to the needs of early warning on geohazards.
Similar content being viewed by others
References
Abbas N, Hamid S (2011) Performance modeling of the leach protocol for mobile wireless sensor networks. J Parallel Distrib Comput 71(6):812–821
Balis B, Kasztelnik M, Bubak M, Bartynski T, Gubala T, Nowakowski P, Broekhuijsen J (2011) The urbanflood common information space for early warning systems. Procedia Comput Sci 4(0):96–105
Bond J, Kim D, Chrzanowski A, Szostak-Chrzanowski A (2007) Development of a fully automated, gps based monitoring system for disaster prevention and emergency preparedness: Ppms+rt. Sensors 7(7):1028–1046
Dembeyiotis S, Konnis G, Koutsouris D (2005) Integrating legacy medical data sensors in a wireless network infrastucture. In: Proceedings of the 27th annual international conference of the IEEE engineering in medicine and biology society, vol 1–7, pp 2232–2235
Demirbas M, Lu XM (2007) Distributed quad-tree for spatial querying in wireless sensor networks In: Proceedings of the IEEE international conference on communications (ICC 2007), pp 3325–3332
Demirbas M, Lu XM, Singla P (2009) An in-network querying framework for wireless sensor networks. IEEE Trans Parallel Distrib Syst 20(8):1202–1215
Ergen E, Sariel-Talay S, Guven G, Avdan G (2011) Local information access for search and rescue using wireless data storage mediums. J Comput Civ Eng 25(4):263–274
Erman AT, van Hoesel L, Havinga P, Wu J (2008) Enabling mobility in heterogeneous wireless sensor networks cooperating with uavs for mission-critical management. IEEE Wirel Commun 15(6):38–46
Gao DY, Yang O, Zhang HK, Chao HC (2011) Multi-path routing protocol with unavailable areas identification in wireless sensor networks. Wirel Pers Commun 60(3):443–462
George SM, Zhou W, Chenji H, Won M, Lee YO, Pazarloglou A, Stoleru R, Barooah P (2010) Distressnet: a wireless ad hoc and sensor network architecture for situation management in disaster response. IEEE Commun Lett 48(3):128–136
Gong W, Cai Z (2013) Differential evolution with ranking-based mutation operators. IEEE Trans Cybern PP(99):1–16. doi:10.1109/TCYB.2013.2239988
Gong W, Cai Z, Ling CX, Li H (2011) Enhanced differential evolution with adaptive strategies for numerical optimization. IEEE Trans Syst Man Cybern B–Cybernetics 41(2):397–413
Kansala K, Korkalainen M, Mayra A (2011) A versatile sensor network for urban search and rescue operations. In: Proceedings of the conference on unmanned/unattended sensors and sensor networks VIII, pp 81, 840H–81, 840H–10
Kim KT, Han JG (2008) Design and implementation of a real-time slope monitoring system based on ubiquitous sensor network. In: Proceedings of the 25th international symposium on automation and robotics in construction, pp 330–336
Ko J, Lim JH, Chen Y, Musaloiu R, Terzis A, Masson GM, Gao T, Destler W, Selavo L, Dutton RP (2010) Medisn: Medical emergency detection in sensor Syst 10(1):1-29
Kolodziej J, Khan S (2012) Multi-level hierarchical genetic-based scheduling of independent jobs in dynamic heterogeneous grid environment. Inf Sci 214:1–19
Kolodziej J, Khan S, Wang L, Zomaya A (2012) Energy efficient genetic-based schedulers in computational grids. Concurrency and computation: practice and experience. doi:10.1002/cpe.2839
Koo B, Shon T (2010) A structural health monitoring framework using 3d visualization and augmented reality in wireless sensor networks. J Internet Technol 11(6):801–807
Kotzian J, Konecny J, Prokop H, Lippa T, Kuruc M (2010) Autonomous explorative mobile robot navigation and construction. In: Proceedings of the 9th RoEduNet IEEE international conference, pp 49–54
Kulkarni RV, Venayagamoorthy GK (2010) Bio-inspired algorithms for autonomous deployment and localization of sensor nodes. IEEE Trans Syst Man Cybern Part C Appl Rev 40(6):663–675
Kung HY, Hua JS, Chen CT (2006) Drought forecast model and framework using wireless sensor networks. J Inf Sci Eng 22(4):751–769
Li YH, Panwar SS, Mao SW (2006) A wireless biosensor network using autonomously controlled animals. IEEE Netw 20(3):6–11
Lovell PA, Pines DJ (1997) A remote wireless damage detection system for monitoring the health of large civil structures. In: Proceedings of smart structures and materials 1997: smart systems for bridges, structures, and highways, pp 12–22
Marin-Perianu M, Bosch S, Marin-Perianu R, Scholten H, Havinga P (2010) Autonomous vehicle coordination with wireless sensor and actuator networks. ACM Trans Auton Adapt Syst 5(4):13
Mascarenas D, Flynn E, Farrar C, Park G, Todd M (2009) A mobile host approach for wireless powering and interrogation of structural health monitoring sensor networks. IEEE Sensors J 9(12):1719–1726
Mascarenas D, Flynn E, Todd M, Park G, Farrar C (2008) Wireless sensor technologies for monitoring civil structures. J Sound Vib 42(4):16–21
Nagayama T, Spencer Jr. F (2007) Structural health monitoring using smart sensors. Tech. Rep. NSEL-001, department of civil and environmental engineering, University of Illinois at Urbana-Champaign
Ohbayashi R, Nakajima Y, Nishikado H, Takayama S (2005) Monitoring system for landslide disaster by wireless sensing node network. Joint Intl IMEKO TC1 & TC7 Symposium, pp 1645–1651
Ollero A, Kondak K, Previnaire E, Maza I, Caballero F, Bernard M, Martinez JR, Marron P, Herrmann K, Van Hoesel L, Lepley J, de Andres E (2010) Integration of aerial robots and wireless sensor and actuator networks. The aware project. In: IEEE international conference on robotics and automation (ICRA), pp 1104–1105
Pines DJ, Lovell PA (1998) Conceptual framework of a remote wireless health monitoring system for large civil structures. Smart Mater Struct 7(5):627–636
Pogkas N, Karastergios GE, Antonopoulos CP, Koubias S, Papadopoulos G (2007) Architecture design and implementation of an ad-hoc network for disaster relief operations. IEEE Trans on Ind Inform 3(1):63–72
Ramachandran C, Misra S, Obaidat MS (2008) A probabilistic zonal approach for swarm-inspired wildfire detection using sensor networks. Int J Commun Syst 21(10):1047–1073
Rus D, Basha E (2008) Wireless sensor network provides early flood detection for underserved countries
Ryu J, Lee CG, Kwon TT, Han J (2009) Combined scheduling and routing for deterministic guarantee of end-to-end deadlines in cell structured sensor networks. IEEE Sensors J 9(10):1291–1301
Saengudomlert P, Ahmed KM, Rajatheva RMAP (2005) MAC protocol for contacts from survivors in disaster areas using multi-hop wireless transmissions. In Asian internet engineering conference, pp 46–56
Sanson H, Mitsuji M (2005) Localization for emergency sensor networks. In: the 7th international conference on advanced communication technology, vol 2, pp 982–987
Shah SIA, Fayed M, Dhodhi M, Mouftah HT (2011) Aqua-net: a flexible architectural framework for water management based on wireless sensor networks. In: Proceedings of the 24th canadian conference on electrical and computer engineering (CCECE), pp 481–484
Silvius MD, MacKenzie AB, Bostian CW (2009) Rendezvous mac protocols for use in cognitive radio networks. In Proceedings of IEEE military communications conference (MILCOM 2009), pp 711–717
Suzuki T, Sugizaki R, Kawabata K, Hada Y, Tobe Y (2010) Autonomous deployment and restoration of sensor network using mobile robots. Int J Adv Robot Syst 7(2):105–114
Takayama S, Hiraoka M, Mori K, Kariya K (2008) Variable data flow management in wireless sensing network for landslide disaster. Meas Sci Rev 8(1):14–17
Tufail A, Khayam SA, Raza MT, Ali A, Kim KH (2010) An enhanced backbone-assisted reliable framework for wireless sensor networks. Sensors 10(3):1619–1651
Wang P, Sun Z, Vuran MC, Al-Rodhaan MA, Al-Dhelaan AM, Akyildiz IF (2011) On network connectivity of wireless sensor networks for sandstorm monitoring. Comput Netw 55(5):1150–1157
Wang P, Sun Z, Vuran MC, Al-Rodhaan MA, Al-Dhelaan AM, Akyildiz IF (2011) Topology analysis of wireless sensor networks for sandstorm monitoring. In: Proceedings of 2011 IEEE international conference on communications (ICC), pp 1–5
Wenning BL, Pesch D, Timm-Giel A, Gorg C (2010) Environmental monitoring aware routing: making environmental sensor networks more robust. Telecommun Syst 43(1–2):3–11
Younis M, Munshi P, Al-Shaer E (2003) Architecture for efficient monitoring and management of sensor networks. Management of multimedia networks and services. Proc 2839:488–502
Yu Y, Ou JP, Li HI (2010) Design, calibration and application of wireless sensors for structural global and local monitoring of civil infrastructures. Smart Struct Syst 6(5–6):641–659
Acknowledgments
This work was supported in part by the National Natural Science Foundation of China (grants No. 61272314, 61104033), the Program for New Century Excellent Talents in University (NCET-11-0722), the Fundamental Research Funds for the Central Universities (CUG, Wuhan, No. CUG120114), the Hebei Provincial Natural Science Fund (grants No. F2012203109), the Excellent Youth Foundation of Hubei Scientific Committee (No. 2012FFA025), the Specialized Research Fund for the Doctoral Program of Higher Education (grant No. 20110145110010), and Wuhan Chenguang Project (2013070104010019). Dr. Lizhe Wang’s work was funded by “One-Hundred Talents Program” of Chinese Academy of Sciences.
Author information
Authors and Affiliations
Corresponding author
Rights and permissions
About this article
Cite this article
Chen, D., Liu, Z., Wang, L. et al. Natural Disaster Monitoring with Wireless Sensor Networks: A Case Study of Data-intensive Applications upon Low-Cost Scalable Systems. Mobile Netw Appl 18, 651–663 (2013). https://doi.org/10.1007/s11036-013-0456-9
Published:
Issue Date:
DOI: https://doi.org/10.1007/s11036-013-0456-9