Self-servicing energy efficient routing strategy for smart forest
Tóm tắt
Monitoring the health and population of all forms of wildlife is a challenge for experts. Nature can be unforgiving with incidents of earthquakes, forest fires, tsunamis, and floods appearing without warning. The effects of industrialization take a toll on wildlife as well. As a result, many species of animals have reportedly gone extinct. The practice of installing wireless sensor networks in forests or in remote environments is not new. In this paper, we present a novel approach in deploying static and mobile sensors in forests. The sensors are distributed at random locations throughout a forest region to cover the maximum area possible. Data collected by these sensors is uploaded to cloud for further analysis. At the core of our model, we propose an energy-efficient algorithm by means of which individual sensors are able to transmit data over shortest path. In simulated experiments, results reveal that our method yields a stable packet delivery ratio. It is also observed to be more energy efficient compared to models that use cluster head selection in wireless sensor networks. Using this model, a region in a forest or wildlife habitat can be monitored for an extended period without compromising network throughput.
Tài liệu tham khảo
Allen R (2011) Seconds before the big one. In: Earthquake detection systems can sound the alarm in the moments before a big tremor strikes-time enough to save lives. ScientificAmerican.com
Allsopp M, Santillo D, Johnston P (2012) Climate Change impacts on arctic wildlife. Greenpeace Research Laboratories, Technical Report (Review), pp 1–20
citation_journal_title=Int J Comput Appl; citation_title=EEDBC-M: enhancement of leach-mobile protocol with energy efficient density-based clustering for mobile sensor networks (MSNs); citation_author=RU Anitha, P Kamalakkannan; citation_volume=74; citation_issue=14; citation_publication_date=2013; citation_pages=19-27; citation_id=CR3
Basha E, Rus D (2007) Design of early warning flood detection systems for developing countries, In Proceedings of the conference on information and communication technology and development
Biet N (2014) Overview of a market that offers new opportunities to startups. THE FAKTORY, pp 1–25
citation_journal_title=Procedia Computer Science; citation_title=Using wireless sensor networks for reliable forest fires detection; citation_author=K Bouabdellah, H Noureddine, S Larbi; citation_volume=19; citation_publication_date=2013; citation_pages=794-801; citation_doi=10.1016/j.procs.2013.06.104; citation_id=CR6
Bradley J, Barbier J, Handler D (2013) Embracing the internet of everything to capture your share of $14.4 Trillion. In: Cisco and/or its affiliates, White Paper, pp 1–18
citation_journal_title=Int J Distrib Sens Netw; citation_title=A sensor network architecture for tsunami detection and response; citation_author=K Casey, A Lim, G Dozier; citation_volume=4; citation_publication_date=2008; citation_pages=27-41; citation_doi=10.1080/15501320701774675; citation_id=CR8
Dyo V, Ellwood SA, Macdonald DW, Markham A, Mascolo C, Pasztor B, Scellato S, Trigoni N, Wohlers R, Yousef K (2010) Evolution and sustainability of a wildlife monitoring sensor network. In: Sensys’10, pp 127–140
Fraunhofer-Gesellschaft, “Research News-Fraunhofer” (2011)
citation_journal_title=Sensors; citation_title=Wireless sensor network deployment for monitoring wildlife passages; citation_author=AJ Garcia-Sanchez, F Garcia-Sanchez, F Losilla, P Kulakowski, J Garcia-Haro, A Rodríguez, JV López-Bao, F Palomares; citation_volume=10; citation_publication_date=2010; citation_pages=7236-7262; citation_doi=10.3390/s100807236; citation_id=CR11
citation_journal_title=Adhoc Sensor Wireless Networks; citation_title=Forest Fire modeling and early detection using wireless sensor networks; citation_author=M Hefeeda, M Bagheri; citation_volume=7; citation_publication_date=2008; citation_pages=169-224; citation_id=CR12
citation_journal_title=IEEE Trans Wireless Commun; citation_title=An application-specific protocol architecture for wireless microsensor networks; citation_author=WB Heinzelman, AP Chandrakasan, H Balakrishnan; citation_volume=1; citation_issue=4; citation_publication_date=2002; citation_pages=660-670; citation_doi=10.1109/TWC.2002.804190; citation_id=CR13
citation_journal_title=The Forestry Chronicle; citation_title=Fire-smart forest management: a pragmatic approach to substainable forest management in fire-dominated ecosystems; citation_author=K Hirsch, V Kafka, C Tymstra, R McAlpine, B Hawkes, H Stegehuis, S Quintilio, S Gauthier, K Peck; citation_volume=77; citation_issue=2; citation_publication_date=2001; citation_pages=357-363; citation_doi=10.5558/tfc77357-2; citation_id=CR14
Kim DS, Chung YJ (2006) Self-organization routing protocol supporting mobile nodes for wireless sensor network. In: Proceedings of the first international multi-symposiums on computer and computational sciences (IMSCCS’06), vol 02, IEEE Computer Society Washington, DC, USA ©2006 ISBN:0-7695-2581-4, pp 622–626
Kugker Z, De Groeve T (2007) The global flood detection system. In: JRC Scientific and Technical Reports, pp 1–45
Kumar GS, Vinu Paul MV, Athithan G, Jacob KP (2008) Routing protocol enhancement for handling node mobility in wireless sensor networks. In: TENCON 2008 IEEE Region 10 Conference, on pp 1–6
citation_journal_title=Cyber surveillance for flood disasters. Sensors; citation_author=S-W Lo, J-H Wu, F-P Lin, C-H Hsu; citation_volume=15; citation_publication_date=2015; citation_pages=2369-2387; citation_id=CR18
citation_journal_title=IEEE Pervasive Comput; citation_title=Sensor networks for emergency response: challenges and opportunities; citation_author=K Lorincz, DJ Malan, TRF Fulford-Jones, A Nawoj, A Clavel, V Shnayder, G Mainland, S Moulton, M Welsh; citation_volume=3; citation_publication_date=2004; citation_pages=16-23; citation_doi=10.1109/MPRV.2004.18; citation_id=CR19
Lyon LJ, Huff MH, Hooper RG, Telfer ES, Schreiner DS (2000) Wildland fire in ecosystems. In: General Technical Report, vol 1
Markham A (2008) On a wildlife tracking and telemetry system: a wireless network approach. In: Ph. D Thesis, Department of Electrical Engineering, University of Cape Town
citation_journal_title=IJARCSSE; citation_title=Flood detection system using wireless sensor network; citation_author=AA Pasi, U Bhave; citation_volume=5; citation_issue=2; citation_publication_date=2015; citation_pages=386-389; citation_id=CR22
citation_title=Environmental sensor applications at USDA forest service experimental forests: the smart forest network; citation_publication_date=2014; citation_id=CR23; citation_author=L Rustad; citation_author=JL Campbell; citation_author=J Randall; citation_author=MB Adams; citation_author=T Schuler; citation_author=R Hallett; citation_author=D Hollinger; citation_author=JM Kabrick; citation_author=S Sebestyen; citation_author=M Martin; citation_author=J Brissette; citation_publisher=ASA
Rustad L, Stine P (2013) Smart forests for the 21st century: a survey of cyber infrastructure capacity and needs at USDA forest service experimental forests and ranges. In: EFR “Smart Forests” Working Group
citation_journal_title=Braz J Sci Technol; citation_title=A novel approach on weight based optimized routing for mobile cloud computing; citation_author=D Sarddar, R Bose, S Sahana; citation_volume=2; citation_issue=3; citation_publication_date=2015; citation_pages=1-12; citation_id=CR24
Shnayder V, Hempstead M, Chen B, Allen GW, Welsh M (2004) Simulating the power consumption of large-scale sensor network applications. In: Proceedings of the second ACM conference on embedded networked sensor systems (SenSys’04), Baltimore, MD
citation_journal_title=ACM Trans Sensor Netw; citation_title=Fusion-based volcanic earthquake detection and timing in wireless sensor networks; citation_author=R Tan, G Xing, J Chen; citation_volume=9; citation_issue=2; citation_publication_date=2013; citation_pages=17; citation_doi=10.1145/2422966.2422974; citation_id=CR26
The Consititution of India, 1st December 2007, p 24
Trifa VM, Girod L, Daniel TC Blumstein T, Taylor CE (2007) Automated wildlife monitoring using self-configuring sensor networks deployed in natural habitats. In: Proceedings of the twelfth international symposium on artificial life and robotics
citation_journal_title=Remote Sens Environ; citation_title=Change in the glacier extent in Turkey during the Landsat Era; citation_author=DD Yavasli, CJ Tucker, KA Melocik; citation_volume=163; citation_publication_date=2015; citation_pages=32-41; citation_doi=10.1016/j.rse.2015.03.002; citation_id=CR30
citation_journal_title=Int J Distrib Sensor Netw; citation_title=A novel hybrid self-organizing clustering routing algorithm; citation_author=P Zhu, F Jia; citation_volume=2012; citation_publication_date=2012; citation_pages=146516; citation_id=CR31
Zhu Y, Xie L, Yuan T (2012) Forest fire detection system based on ZigBee wireless sensor network. In: ICEICE’12 proceedings of the 2012 second international conference on electrical information and control engineering, vol 2, pp 761–764