Abstract
Rarely occurring events present unique challenges to energy constrained systems designed for long term sensing of their occurrence or effect. Unlike periodic sampling or query based sensing systems, longevity cannot be achieved simply by adjusting the sensing nodes’ duty cycle until an equitable balance between data density and network lifetime is established. The low probability of occurrence and random nature of rare events makes it difficult to guarantee duty cycled battery powered sensing nodes will be energised when events occur. Equally, it is usually considered impractical to leave the sensing nodes energised at all times if the network is to have an acceptably long operational life. In the past decade and a half, wireless sensor network research has addressed this aspect of rare event sensing by investigating techniques including synchronised duty cycling of redundant nodes, passive sensing, duplicate message suppression, and energy efficient network protocols. Researchers have also demonstrated the efficacy of harvesting energy from the environment to extend operational life. Here we survey existing rare event detection and propagation techniques, and suggest areas suitable for continued research.
- Ian F. Akyildiz, Weilian Su, Yogesh Sankarasubramaniam, and Erdal Cayirci. 2002. A survey on sensor networks. IEEE Communications Magazine 40, 8 (2002), 102--114.Google ScholarDigital Library
- K. H. Mahmudul Alam, Joarder Kamruzzaman, Gour Karmakar, and Manzur Murshed. 2012. Priority sensitive event detection in hybrid wireless sensor networks. In Proceedings of the 21st International Conference on Computer Communications and Networks (ICCCN). 1--7.Google Scholar
- Ahmed Ammar and Daryl Reynolds. 2015. An adaptive scheduling scheme for cooperative energy harvesting networks. Journal of Communications and Networks 17, 3 (2015), 256--264.Google ScholarCross Ref
- Giuseppe Anastasi, Marco Conti, Mario Di Francesco, and Andrea Passarella. 2009. Energy conservation in wireless sensor networks: A survey. Ad Hoc Networks 7, 3 (2009), 537--568.Google ScholarDigital Library
- Anish Arora, Prabal Dutta, Sandip Bapat, Vinod Kulathumani, Hongwei Zhang, Vinayak Naik, Vineet Mittal, Hui Cao, Murat Demirbas, Mohamed Gouda, and others. 2004. A line in the sand: A wireless sensor network for target detection, classification, and tracking. Computer Networks 46, 5 (2004), 605--634.Google ScholarDigital Library
- Sitaram Asur and Srinivasan Parthasarathy. 2007. Correlation-based feature partitioning for rare event detection in wireless sensor networks. In Proceedings of the 1st International Workshop on Knowledge Discovery from Sensor Data (Sensor-KDD).Google Scholar
- Luigi Atzori, Antonio Iera, and Giacomo Morabito. 2010. The internet of things: A survey. Computer Networks 54, 15 (2010), 2787--2805.Google ScholarDigital Library
- Seema Bandyopadhyay and Edward J. Coyle. 2003. An energy efficient hierarchical clustering algorithm for wireless sensor networks. In Proceedings of the 22nd Annual Joint Conference of the IEEE Computer and Communications Societies (INFOCOM). IEEE, 1713--1723.Google Scholar
- S. Borzsony, Donald Kossmann, and Konrad Stocker. 2001. The skyline operator. In Proceedings of the 17th International Conference on Data Engineering. IEEE, 421--430.Google ScholarDigital Library
- Richard R. Brooks, Parameswaran Ramanathan, and Akbar M. Sayeed. 2003. Distributed target classification and tracking in sensor networks. Proceedings of the IEEE 91, 8 (2003), 1163--1171.Google ScholarCross Ref
- James Bucklew. 2013. Introduction to Rare Event Simulation. Springer Science & Business Media.Google ScholarDigital Library
- Qing Cao, Tarek Abdelzaher, Tian He, and John Stankovic. 2005a. Towards optimal sleep scheduling in sensor networks for rare-event detection. In Proceedings of the 4th International Symposium on Information Processing in Sensor Networks (IPSN). 8 pages.Google ScholarCross Ref
- Qing Cao, Ting Yan, John Stankovic, and Tarek Abdelzaher. 2005b. Analysis of target detection performance for wireless sensor networks. In Distributed Computing in Sensor Systems. Springer, 276--292.Google Scholar
- Long Cheng, Chengdong Wu, Yunzhou Zhang, Hao Wu, Mengxin Li, and Carsten Maple. 2012. A survey of localization in wireless sensor network. International Journal of Distributed Sensor Networks 2012 (2012).Google ScholarCross Ref
- M. Y. Cheng, Y. B. Chen, and Winston K. G. Seah. 2013. Event-driven energy-harvesting wireless sensor network for structural health monitoring. In Proceedings of the 38th Annual IEEE Conference on Local Computer Networks (LCN). 9 pages.Google Scholar
- Seong-Pyo Cheon, Sungshin Kim, So-Young Lee, and Chong-Bum Lee. 2009. Bayesian networks based rare event prediction with sensor data. Knowledge-Based Systems 22, 5 (2009), 336--343.Google ScholarDigital Library
- Delphine Christin, Parag S. Mogre, and Matthias Hollick. 2010. Survey on wireless sensor network technologies for industrial automation: The security and quality of service perspectives. Future Internet 2, 2 (2010), 96--125.Google ScholarCross Ref
- Alexandra Czarlinska, William Luh, and Deepa Kundur. 2007. Attacks on sensing in hostile wireless sensor-actuator environments. In Proceedings of the Global Telecommunications Conference (Globecom). IEEE, 1001--1005.Google ScholarCross Ref
- Ana Paula R. da Silva, Marcelo H. T. Martins, Bruno P. S. Rocha, Antonio A. F. Loureiro, Linnyer B. Ruiz, and Hao Chi Wong. 2005. Decentralized intrusion detection in wireless sensor networks. In Proceedings of the 1st ACM International Workshop on Quality of Service and Security in Wireless and Mobile Networks. ACM, 16--23.Google ScholarDigital Library
- Sankar Narayan Das and Sudip Misra. 2015. Event-driven probabilistic topology management in sparse wireless sensor network. Wireless Sensor Systems 5, 4 (2015), 210--217.Google ScholarCross Ref
- Shideh Dashti, Jack Reilly, Jonathan D. Bray, Alex Bayen, Steven Glaser, Ervasti Mari, and Professor Jonathan D. Bray. 2011. Ishake: Using Personal Devices to Deliver Rapid Semi-Qualitative Earthquake Shaking Information. GeoEngineering Report, Department of Civil and Environmental Engineering, University of California, Berkeley, Feb., 2011.Google Scholar
- Prabal Dutta, Mike Grimmer, Anish Arora, Steven Bibyk, and David Culler. 2005. Design of a wireless sensor network platform for detecting rare, random, and ephemeral events. In Proceedings of the 4th International Symposium on Information Processing in Sensor Networks. IEEE Press, 70.Google ScholarDigital Library
- Jeremy Eric Elson. 2003. Time Synchronization in Wireless Sensor Networks. Ph. D. dissertation. University of California, Los Angeles.Google Scholar
- Xenofon Fafoutis and Nicola Dragoni. 2011. ODMAC: An on-demand MAC protocol for energy harvesting-wireless sensor networks. In Proceedings of the 8th ACM Symposium on Performance Evaluation of Wireless Ad Hoc, Sensor, and Ubiquitous Networks. ACM, 49--56.Google ScholarDigital Library
- GaoJun Fan and ShiYao Jin. 2010. Coverage problem in wireless sensor network: A survey. Journal of Networks 5, 9 (2010), 1033--1040.Google ScholarCross Ref
- Matthew Faulkner, Michael Olson, Rishi Chandy, Jonathan Krause, K. Mani Chandy, and Andreas Krause. 2011. The next big one: Detecting earthquakes and other rare events from community-based sensors. In Proceedings of the 10th International Conference on Information Processing in Sensor Networks (IPSN). IEEE, 13--24.Google Scholar
- Jessica Feng and Miodrag Potkonjak. 2002. Power minimization by separation of control and data radios. In Proceedings of the IEEE CAS Workshop on Wireless Communication and Networking, Vol. 9. IEEE, 112--121.Google Scholar
- Holger Füßler, Jörg Widmer, Michael Käsemann, Martin Mauve, and Hannes Hartenstein. 2003. Contention-based forwarding for mobile ad hoc networks. Ad Hoc Networks 1, 4 (2003), 351--369.Google ScholarCross Ref
- Erol Gelenbe and E. C.-H. Ngai. 2008. Adaptive QoS routing for significant events in wireless sensor networks. In Proceedings of the 5th IEEE International Conference on Mobile Ad Hoc and Sensor Systems. IEEE, 410--415.Google ScholarCross Ref
- James M. Gilbert and Farooq Balouchi. 2008. Comparison of energy harvesting systems for wireless sensor networks. International Journal of Automation and Computing 5, 4 (2008), 334--347.Google ScholarCross Ref
- Paul Glasserman, Philip Heidelberger, Perwez Shahabuddin, and Tim Zajic. 1999. Multilevel splitting for estimating rare event probabilities. Operations Research 47, 4 (1999), 585--600.Google ScholarDigital Library
- Peng Guo, Tao Jiang, Qian Zhang, and Kui Zhang. 2012. Sleep scheduling for critical event monitoring in wireless sensor networks. IEEE Transactions on Parallel and Distributed Systems 23, 2 (2012), 345--352.Google ScholarDigital Library
- Jose A. Gutierrez, Marco Naeve, Ed. Callaway, Monique Bourgeois, Vinay Mitter, and Bob Heile. 2001. IEEE 802.15. 4: A developing standard for low-power low-cost wireless personal area networks. IEEE Network 15, 5 (2001), 12--19.Google ScholarDigital Library
- Chih-Chieh Han, Ram Kumar, Roy Shea, and Mani Srivastava. 2005. Sensor network software update management: A survey. International Journal of Network Management 15, 4 (2005), 283--294.Google ScholarDigital Library
- David C. Harrison, Winston K. G. Seah, and Ramesh Rayudu. 2015. Coverage preservation in energy harvesting wireless sensor networks for rare events. In Proceedings of the 40th Annual IEEE Conference on Local Computer Networks. IEEE.Google ScholarDigital Library
- Tian He, Sudha Krishnamurthy, Liqian Luo, Ting Yan, Lin Gu, Radu Stoleru, Gang Zhou, Qing Cao, Pascal Vicaire, John A. Stankovic, and others. 2006. VigilNet: An integrated sensor network system for energy-efficient surveillance. ACM Transactions on Sensor Networks (TOSN) 2, 1 (2006), 1--38.Google ScholarDigital Library
- Tian He, Sudha Krishnamurthy, John A. Stankovic, Tarek Abdelzaher, Liqian Luo, Radu Stoleru, Ting Yan, Lin Gu, Jonathan Hui, and Bruce Krogh. 2004. Energy-efficient surveillance system using wireless sensor networks. In Proceedings of the 2nd International Conference on Mobile Systems, Applications, and Services. ACM, 270--283.Google ScholarDigital Library
- Wendi B. Heinzelman, Anantha P. Chandrakasan, and Hari Balakrishnan. 2002. An application-specific protocol architecture for wireless microsensor networks. IEEE Transactions on Wireless Communications 1, 4 (2002), 660--670.Google ScholarDigital Library
- Chih-Fan Hsin and Mingyan Liu. 2004. Network coverage using low duty-cycled sensors: Random and coordinated sleep algorithms. In Proceedings of the 3rd International Symposium on Information Processing in Sensor Networks (IPSN). 433--442.Google ScholarDigital Library
- Chalermek Intanagonwiwat, Deborah Estrin, Ramesh Govindan, and John Heidemann. 2002. Impact of network density on data aggregation in wireless sensor networks. In Proceedings of the 22nd International Conference on Distributed Computing Systems. IEEE, Vienna, Austria, 457--458.Google ScholarCross Ref
- Kyle Jamieson, Hari Balakrishnan, and Y. C. Tay. 2006. Sift: A MAC protocol for event-driven wireless sensor networks. In Wireless Sensor Networks. Springer, 260--275.Google Scholar
- Xiaofan Jiang, Joseph Polastre, and David Culler. 2005. Perpetual environmentally powered sensor networks. In Proceedings of th 4th International Symposium on Information Processing in Sensor Networks. IEEE, 463--468.Google ScholarDigital Library
- Raja Jurdak, X. Rosalind Wang, Oliver Obst, and Philip Valencia. 2011. Wireless sensor network anomalies: Diagnosis and detection strategies. In Intelligence-Based Systems Engineering. Springer, 309--325.Google Scholar
- Yimei Kang, Yang Han, and Jiang Hu. 2012. A node scheduling based on partition for WSN. In Proceedings of Wireless Telecommunications Symposium (WTS). IEEE, 1--6.Google ScholarCross Ref
- Aman Kansal, Jason Hsu, Sadaf Zahedi, and Mani B. Srivastava. 2007. Power management in energy harvesting sensor networks. ACM Transactions on Embedded Computing Systems (TECS) 6, 4 (2007), 32 pages.Google ScholarDigital Library
- Krasimira Kapitanova, Sang H. Son, and Kyoung-Don Kang. 2012. Using fuzzy logic for robust event detection in wireless sensor networks. Ad Hoc Networks 10, 4 (2012), 709--722.Google ScholarDigital Library
- Heikki Karvonen, Juha Petäjäjärvi, Jari Iinatti, Matti Hämäläinen, and Carlos Pomalaza-Ráez. 2014. A generic wake-up radio based MAC protocol for energy efficient short range communication. In Proceedings of the 25th Annual International Symposium on Personal, Indoor, and Mobile Radio Communications (PIMRC). 5 pages.Google ScholarCross Ref
- Vivek Katiyar, Narottam Chand, and Surender Soni. 2011. Clustering algorithms for heterogeneous wireless sensor network: A survey. International Journal of Advanced Networking and Applications 2, 4 (2011), 745--754.Google Scholar
- S. Kavitha and S. Lalitha. 2014. Sleep scheduling for critical event monitoring in wireless sensor networks. International Journal of Advanced Research in Computer and Communication Engineering 3, 1 (2014), 4974--4978.Google Scholar
- Abtin Keshavarzian, Huang Lee, and Lakshmi Venkatraman. 2006. Wakeup scheduling in wireless sensor networks. In Proceedings of the 7th ACM International Symposium on Mobile Ad Hoc Networking and Computing. ACM, 322--333.Google ScholarDigital Library
- Andreas Krause, Eric Horvitz, Aman Kansal, and Feng Zhao. 2008. Toward community sensing. In Proceedings of the 7th International Conference on Information Processing in Sensor Networks. IEEE Computer Society, 481--492.Google ScholarDigital Library
- Bhaskar Krishnamachari and Sitharama Iyengar. 2004. Distributed Bayesian algorithms for fault-tolerant event region detection in wireless sensor networks. IEEE Transactions on Networking 53, 3 (2004), 241--250.Google ScholarDigital Library
- L. Krishnamachari, Deborah Estrin, and Stephen Wicker. 2002. The impact of data aggregation in wireless sensor networks. In Proceedings of the 22nd International Conference on Distributed Computing Systems Workshops. IEEE, 575--578.Google ScholarDigital Library
- Sunil Kulkarni, Aravind Iyer, and Catherine Rosenberg. 2006. An address-light, integrated MAC and routing protocol for wireless sensor networks. IEEE/ACM Transactions on Networking 14, 4 (2006), 793--806.Google ScholarDigital Library
- Santosh Kumar, Anish Arora, and Ten-Hwang Lai. 2005. On the lifetime analysis of always-on wireless sensor network applications. In Proceedings of the 2nd IEEE International Conference on Mobile Ad hoc and Sensor Systems. IEEE, 3 pages.Google ScholarCross Ref
- Santosh Kumar, Ten H. Lai, and József Balogh. 2004. On k-coverage in a mostly sleeping sensor network. In Proceedings of the 10th Annual International Conference on Mobile Computing and Networking. ACM, 144--158.Google ScholarDigital Library
- Philip Levis, Sam Madden, Joseph Polastre, Robert Szewczyk, Kamin Whitehouse, Alec Woo, David Gay, Jason Hill, Matt Welsh, Eric Brewer, and others. 2005. TinyOS: An operating system for sensor networks. In Ambient Intelligence. Springer, 115--148.Google Scholar
- Huijiang Li, Neeraj Jaggi, and Biplab Sikdar. 2012. An analytical approach towards cooperative relay scheduling under partial state information. In Proceedings of the 31st International Conference on Computer Communications (INFOCOM). IEEE, 2666--2670.Google ScholarCross Ref
- Mo Li, Yunhao Liu, and Lei Chen. 2008. Nonthreshold-based event detection for 3D environment monitoring in sensor networks. IEEE Transactions on Knowledge and Data Engineering 20, 12 (2008), 1699--1711.Google ScholarDigital Library
- Shuoqi Li, Sang H. Son, and John A. Stankovic. 2003. Event detection services using data service middleware in distributed sensor networks. In Information Processing in Sensor Networks. Springer, 502--517.Google Scholar
- Qilian Liang and Lingming Wang. 2005. Event detection in wireless sensor networks using fuzzy logic system. In Proceedings of the 2005 IEEE International Conference on Computational Intelligence for Homeland Security and Personal Safety (CIHSPS). IEEE, 52--55.Google ScholarCross Ref
- Chong Liu, Kui Wu, Yang Xiao, and Bo Sun. 2006. Random coverage with guaranteed connectivity: Joint scheduling for wireless sensor networks. Transactions on Parallel and Distributed Systems 17, 6 (2006), 562--575.Google ScholarDigital Library
- Kay Soon Low, Win Nu Nu Win, and Meng Joo Er. 2005. Wireless sensor networks for industrial environments. In Proceedings of the International Conference on Computational Intelligence for Modelling, Control and Automation, and International Conference on Intelligent Agents, Web Technologies and Internet Commerce, Vol. 2. IEEE, 271--276.Google Scholar
- Xuanwen Luo, Ming Dong, and Yinlun Huang. 2006. On distributed fault-tolerant detection in wireless sensor networks. IEEE Transactions on Computers 55, 1 (2006), 58--70.Google ScholarDigital Library
- Arunanshu Mahapatro and Pabitra Mohan Khilar. 2013. Fault diagnosis in wireless sensor networks: A survey. IEEE Communications Surveys and Tutorials 15, 4 (2013), 2000--2026.Google ScholarCross Ref
- Fernando Martincic and Loren Schwiebert. 2006. Distributed event detection in sensor networks. In Proceedings of the International Conference on Systems and Networks Communications (ICSNC). IEEE, 43.Google ScholarDigital Library
- David Martins and Hervé Guyennet. 2010. Wireless sensor network attacks and security mechanisms: A short survey. In Proceedings of the 13th International Conference on Network-Based Information Systems (NBiS). IEEE, 313--320.Google ScholarDigital Library
- Prodromos-Vasileios Mekikis, George Athanasiou, and Carlo Fischione. 2013. A wireless sensor network testbed for event detection in smart homes. In Proceedings of the International Conference on Distributed Computing in Sensor Systems (DCOSS). IEEE, 321--322.Google ScholarDigital Library
- Bratislav Milic. 2012. Optimal stopping strategies in collaborative event detection in wireless sensor networks. In Proceedings of the 4th International Congress on Ultra Modern Telecommunications and Control Systems and Workshops (ICUMT). IEEE, 842--849.Google ScholarCross Ref
- Sudip Misra, Satyadeep Mishra, and Manas Khatua. 2015. Social sensing-based duty cycle management for monitoring rare events in wireless sensor networks. IET Wireless Sensor Systems 5, 2 (2015), 68--75.Google ScholarCross Ref
- Prabhudutta Mohanty, Sangram Panigrahi, Nityananda Sarma, and Siddhartha Sankar Satapathy. 2010. Security issues in wireless sensor network data gathering protocols: A survey. Journal of Theoretical and Applied Information Technology 13 (2010).Google Scholar
- Luca Mottola and Gian Pietro Picco. 2011. Programming wireless sensor networks: Fundamental concepts and state of the art. ACM Computing Surveys (CSUR) 43, 3 (2011), 19.Google ScholarDigital Library
- Aziz Nasridinov, Sun-Young Ihm, Young-Sik Jeong, and Young-Ho Park. 2014. Event detection in wireless sensor networks: Survey and challenges. In Mobile, Ubiquitous, and Intelligent Computing. Springer, 585--590.Google Scholar
- Jonathan P. Olds and Winston K. G. Seah. 2012. Design of an active radio frequency powered multi-hop wireless sensor network. In Proceedings of the 7th IEEE Conference on Industrial Electronics and Applications (ICIEA). IEEE, Singapore, 1721--1726.Google Scholar
- ElMoustapha Ould-Ahmed-Vall, Bonnie Heck Ferri, and George F. Riley. 2012. Distributed fault-tolerance for event detection using heterogeneous wireless sensor networks. IEEE Transactions on Mobile Computing 11, 12 (2012), 1994--2007.Google ScholarDigital Library
- Nikolaos Pantazis, Stefanos A. Nikolidakis, and Dimitrios D. Vergados. 2013. Energy-efficient routing protocols in wireless sensor networks: A survey. IEEE Communications Surveys and Tutorials 15, 2 (2013), 551--591.Google ScholarCross Ref
- Chulsung Park and Pai H. Chou. 2006. Ambimax: Autonomous energy harvesting platform for multi-supply wireless sensor nodes. In Proceedings of the 3rd Annual IEEE Communications Society on Sensor and Ad Hoc Communications and Networks, Vol. 1. IEEE, 168--177.Google Scholar
- Gyuhae Park, Tajana Rosing, Michael D. Todd, Charles R. Farrar, and William Hodgkiss. 2008. Energy harvesting for structural health monitoring sensor networks. Journal of Infrastructure Systems 14, 1 (2008), 64--79.Google ScholarCross Ref
- Joseph Polastre, Jason Hill, and David Culler. 2004. Versatile low power media access for wireless sensor networks. In Proceedings of the 2nd International Conference on Embedded Networked Sensor Systems. ACM, 95--107.Google ScholarDigital Library
- Krešimir Pripužić, Hrvoje Belani, and Marin Vuković. 2008. Early forest fire detection with sensor networks: Sliding window skylines approach. In Knowledge-Based Intelligent Information and Engineering Systems. Springer, 725--732.Google Scholar
- Venkatesh Rajendran, Katia Obraczka, and Jose Joaquin Garcia-Luna-Aceves. 2006. Energy-efficient, collision-free medium access control for wireless sensor networks. Wireless Networks 12, 1 (2006), 63--78.Google ScholarDigital Library
- Sidra Rashid, Usman Akram, Saad Qaisar, Shoab Ahmed Khan, and Emad Felemban. 2014. Wireless sensor network for distributed event detection based on machine learning. In Proceedings of 2014 IEEE International Conference on Internet of Things (iThings 2014), Green Computing and Communications (GreenCom 2014), and Cyber-Physical-Social Computing (CPSCom 2014). IEEE, 540--545.Google ScholarDigital Library
- Joel J. P. C. Rodrigues and Paulo A. C. S. Neves. 2010. A survey on IP-based wireless sensor network solutions. International Journal of Communication Systems 23, 8 (2010), 963--981.Google ScholarDigital Library
- Rodrigo Roman, Jianying Zhou, and Javier Lopez. 2006. Applying intrusion detection systems to wireless sensor networks. In Proceedings of the IEEE Consumer Communications and Networking Conference (CCNC). 640--644.Google ScholarCross Ref
- Gerardo Rubino and Bruno Tuffin. 2009. Rare Event Simulation Using Monte Carlo Methods. John Wiley & Sons.Google ScholarDigital Library
- Takeshi Sakaki, Makoto Okazaki, and Yutaka Matsuo. 2010. Earthquake shakes Twitter users: Real-time event detection by social sensors. In Proceedings of the 19th International Conference on World Wide Web. ACM, 851--860.Google ScholarDigital Library
- Juan Sanchez, Rafael Marin-Perez, Pedro M. Ruiz, and others. 2007. BOSS: Beacon-less on demand strategy for geographic routing inwireless sensor networks. In Proceedings of the IEEE International Conference on Mobile Ad hoc and Sensor Systems. IEEE, 10 pages.Google ScholarCross Ref
- Curt Schurgers and Mani B. Srivastava. 2001. Energy efficient routing in wireless sensor networks. In Proceedings of the Military Communications Conference. Communications for Network-Centric Operations: Creating the Information Force, Vol. 1. IEEE, 357--361.Google Scholar
- Winston K. G. Seah, Zhi Ang Eu, and Hwee-Pink Tan. 2009. Wireless sensor networks powered by ambient energy harvesting (WSN-HEAP)—Survey and challenges. In Proceedings of the 1st International Conference on Wireless Communication, Vehicular Technology, Information Theory and Aerospace and Electronic Systems Technology. IEEE, 5 pages.Google ScholarCross Ref
- Jaydip Sen. 2010. A survey on wireless sensor network security. arXiv:1011.1529 (2010).Google Scholar
- Megha Sharma and Ashutosh Kumar Singh. 2014. Analysis of type-2 fuzzy systems for WSN: A survey. In Intelligent Computing, Networking, and Informatics. Springer, 1115--1123.Google Scholar
- Anmol Sheth, Kalyan Tejaswi, Prakshep Mehta, Chandresh Parekh, Rajul Bansal, S. Merchant, T. Singh, Uday B. Desai, Chandramohan A. Thekkath, and K. Toyama. 2005. Senslide: A sensor network based landslide prediction system. In Proceedings of the 3rd International Conference on Embedded Networked Sensor Systems. ACM, 280--281.Google Scholar
- Sujesha Sudevalayam and Purushottam Kulkarni. 2011. Energy harvesting sensor nodes: Survey and implications. IEEE Communications Surveys and Tutorials 13, 3 (2011), 443--461.Google ScholarCross Ref
- Bo Sun, Lawrence Osborne, Yang Xiao, and Sghaier Guizani. 2007. Intrusion detection techniques in mobile ad hoc and wireless sensor networks. IEEE Wireless Communications 14, 5 (2007), 56--63.Google ScholarDigital Library
- Yanjun Sun, Shu Du, Omer Gurewitz, and David B. Johnson. 2008a. DW-MAC: A low latency, energy efficient demand-wakeup MAC protocol for wireless sensor networks. In Proceedings of the 9th ACM International Symposium on Mobile Ad Hoc Networking and Computing. 53--62.Google Scholar
- Yanjun Sun, Omer Gurewitz, and David B. Johnson. 2008b. RI-MAC: A receiver-initiated asynchronous duty cycle MAC protocol for dynamic traffic loads in wireless sensor networks. In Proceedings of the 6th ACM Conference on Embedded Networked Sensor Systems (SenSys). 1--14.Google Scholar
- Harsh Sundani, Haoyue Li, Vijay Devabhaktuni, Mansoor Alam, and Prabir Bhattacharya. 2011. Wireless sensor network simulators a survey and comparisons. International Journal of Computer Networks 2, 5 (2011), 249--265.Google Scholar
- Q. C. Tang, Q. S. He, M. Y. Li, C. Dong, D. C. Xu, and Xinxin Li. 2015. A self-powered wireless sensing node for event-driven alerting based on a bi-stable vibration energy harvester. In Proceedings of the 18th International Conference on Solid-State Sensors, Actuators and Microsystems (TRANSDUCERS). IEEE, 1215--1218.Google ScholarCross Ref
- Kieu-Xuan Thuc and Koo Insoo. 2011. A collaborative event detection scheme using fuzzy logic in clustered wireless sensor networks. AEU-International Journal of Electronics and Communications 65, 5 (2011), 485--488.Google ScholarCross Ref
- Di Tian and Nicolas D. Georganas. 2002. A coverage-preserving node scheduling scheme for large wireless sensor networks. In Proceedings of the 1st ACM International Workshop on Wireless Sensor Networks and Applications. ACM, 32--41.Google Scholar
- Sameer Tilak, Nael B. Abu-Ghazaleh, and Wendi Heinzelman. 2002. A taxonomy of wireless micro-sensor network models. ACM SIGMOBILE Mobile Computing and Communications Review 6, 2 (2002), 28--36.Google ScholarDigital Library
- Daniel Tomicek, Yek-Hong Tham, Winston K. G. Seah, and Ramesh Rayudu. 2013. Vibration-powered wireless sensor for structural monitoring during earthquakes. In Proceedings of the 6th International Conference on Structural Health Monitoring of Intelligent Infrastructure. 10 pages.Google Scholar
- Tijs Van Dam and Koen Langendoen. 2003. An adaptive energy-efficient MAC protocol for wireless sensor networks. In Proceedings of the 1st International Conference on Embedded Networked Sensor Systems. ACM, 171--180.Google Scholar
- Federico Viani, Marco Salucci, Paolo Rocca, Giacomo Oliveri, and Andrea Massa. 2012. A multi-sensor WSN backbone for museum monitoring and surveillance. In Proceedings of the 6th European Conference on Antennas and Propagation (EUCAP). IEEE, 51--52.Google ScholarCross Ref
- Christopher M. Vigorito, Deepak Ganesan, and Andrew G. Barto. 2007. Adaptive control of duty cycling in energy-harvesting wireless sensor networks. In Proceedings of the 4th Annual IEEE Communications Society Conference on Sensor, Mesh and Ad Hoc Communications and Networks. IEEE, 21--30.Google Scholar
- Mehmet C. Vuran and Ian F. Akyildiz. 2006. Spatial correlation-based collaborative medium access control in wireless sensor networks. IEEE/ACM Transactions on Networking 14, 2 (2006), 316--329.Google ScholarDigital Library
- John Paul Walters, Zhengqiang Liang, Weisong Shi, and Vipin Chaudhary. 2007. Wireless sensor network security: A survey. Security in Distributed, Grid, Mobile, and Pervasive Computing 1 (2007), 367.Google Scholar
- Geoffrey Werner-Allen, Konrad Lorincz, Mario Ruiz, Omar Marcillo, Jeff Johnson, Jonathan Lees, and Matt Welsh. 2006. Deploying a wireless sensor network on an active volcano. IEEE Internet Computing 10, 2 (2006), 18--25.Google ScholarDigital Library
- Georg Wittenburg, Norman Dziengel, Stephan Adler, Zakaria Kasmi, Marco Ziegert, and Jochen Schiller. 2012. Cooperative event detection in wireless sensor networks. IEEE Communications Magazine 50, 12 (2012), 124--131.Google ScholarCross Ref
- Georg Wittenburg, Norman Dziengel, Christian Wartenburger, and Jochen Schiller. 2010. A system for distributed event detection in wireless sensor networks. In Proceedings of the 9th ACM/IEEE International Conference on Information Processing in Sensor Networks. ACM, 94--104.Google ScholarDigital Library
- Lijie Xu, Jiannong Cao, Xuefeng Liu, Haipeng Dai, and Guihai Chen. 2012. EODS: An energy-efficient online decision scheme in delay-sensitive sensor networks for rare-event detection. In 18th International Conference on Parallel and Distributed Systems (ICPADS). IEEE, 307--314.Google ScholarDigital Library
- Ning Xu, Sumit Rangwala, Krishna Kant Chintalapudi, Deepak Ganesan, Alan Broad, Ramesh Govindan, and Deborah Estrin. 2004. A wireless sensor network for structural monitoring. In Proceedings of the 2nd International Conference on Embedded Networked Sensor Systems. ACM, 13--24.Google ScholarDigital Library
- Zhimin Yang, Kaijun Ren, and Chang Liu. 2013. Efficient data collection with spatial clustering in time constraint WSN applications. In Pervasive Computing and the Networked World. Springer, 728--742.Google Scholar
- Yong Yao and Johannes Gehrke. 2003. Query processing in sensor networks. In Proceedings of the 1st Biennial Conference on Innovative Data Systems Research. 233--244.Google Scholar
- Wei Ye, John Heidemann, and Deborah Estrin. 2002. An energy-efficient MAC protocol for wireless sensor networks. In Proceedings of the 21st Annual Joint Conference of the IEEE Computer and Communications Societies, Vol. 3. IEEE, 1567--1576.Google Scholar
- Wei Ye, John Heidemann, and Deborah Estrin. 2004. Medium access control with coordinated adaptive sleeping for wireless sensor networks. IEEE/ACM Transactions on Networking 12, 3 (2004), 493--506.Google ScholarDigital Library
- Jennifer Yick, Biswanath Mukherjee, and Dipak Ghosal. 2008. Wireless sensor network survey. Computer Networks 52, 12 (2008), 2292--2330.Google ScholarDigital Library
- Hongseok Yoo, Moonjoo Shim, and Dongkyun Kim. 2012. Dynamic duty-cycle scheduling schemes for energy-harvesting wireless sensor networks. IEEE Communications Letters 16, 2 (2012), 202--204.Google ScholarCross Ref
- Mohamed-Haykel Zayani, Nadjib Aitsaadi, and Paul Muhlethaler. 2014. A new opportunistic routing scheme in low duty-cycle WSNs for monitoring infrequent events. In Wireless Days (WD), 2014 IFIP. IEEE, 1--4.Google ScholarCross Ref
- Hongwei Zhang, Anish Arora, Young-ri Choi, and Mohamed G. Gouda. 2007. Reliable bursty convergecast in wireless sensor networks. Computer Communications 30, 13 (2007), 2560--2576.Google ScholarDigital Library
- Junqi Zhang and Vijay Varadharajan. 2010. Wireless sensor network key management survey and taxonomy. Journal of Network and Computer Applications 33, 2 (2010), 63--75.Google ScholarDigital Library
- Gang Zhou, Tian He, John Stankovic, Tarek Abdelzaher, and others. 2005. RID: Radio interference detection in wireless sensor networks. In Proceedings of the 24th Annual Joint Conference of the IEEE Computer and Communications Societies, Vol. 2. IEEE, 891--901.Google Scholar
- Yanmin Zhu, Yunhuai Liu, and Lionel M. Ni. 2012. Optimizing event detection in low duty-cycled sensor networks. Wireless Networks 18, 3 (2012), 241--255.Google ScholarDigital Library
Index Terms
- Rare Event Detection and Propagation in Wireless Sensor Networks
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