Abstract
Data gathering is a subject of interest in Wireless Sensor Networks (WSNs). Because these networks use devices with limited resources, to obtain good results, they must be well configured and distributed, while data must be gathered in an efficient manner, without wasting resources. In this paper, the factors used as a trade-off for a reliable transmission are: complexity and latency. In order to obtain reliability, it is mandatory to make more frame exchanges and to employ extra communication between entities, to ensure that data is not corrupted or lost during transmission. The objective of this paper is centered around reliable communication in WSNs and the proposed solution minimizes the risk of losing data when nodes remain without energy. Among energy aspects, a prioritization algorithm that uses the positions of sensors and the trajectory of a collecting unmanned aerial vehicle (UAV) is implemented in this proposition. All these together form a protocol that is intended to be used in critical systems where every bit of information is vital.
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References
Everything for Cities - Connecting People, Process, Data, and Things To Improve the ‘Livability’ of Cities and Communities. CISCO (2013)
Jankowski, S., Covello, J., Bellini, H., Ritchie, J., Costa, D.: The internet of things: Making sense of the next mega-trend. Goldman Sachs (2014)
Cerulli, R., Gentili, M., Raiconi, A.: Maximizing lifetime and handling reliability in wireless sensor networks. Netw. Int. J. 64(4), 321–338 (2014)
Bhuyan, B., Sarma, N.: A QoS aware routing protocol in wireless sensor networks with mobile base stations. In: Proceedings of the International Conference on Internet of things and Cloud Computing, Article no 15, March 2016
Mianxiong, D., Kaoru, O., Man, L., Zunyi, T., Suguo, D., Haojin, Z.: UAV-assisted data gathering in wireless sensor networks. J. Supercomputing 70(3), 1142–1155 (2014)
Burri, N., von Rickenbach, P., Wattenhofer, R.: Dozer: Ultra-low power data gathering in sensor networks. In: Information Processing in Sensor Networks, pp. 450–459 (2007)
Zytoune, O., Aboutajdine, D.: A lifetime extension protocol for data gathering in wireless sensor networks. Int. J. Innov. Appl. Stud. 4(3), 477–482 (2013)
Arumugam, G.S., Ponnuchamy, T.: EE-LEACH: Development of energy-efficient LEACH Protocol for data gathering in WSN. EURASIP J. Wirel. Commun. Networking 76, 1–9 (2015)
Fu, C., Jiang, Z., Wei, W., Wei, A.: An energy balanced algorithm of LEACH protocol in WSN. IJCSI Int. J. Comput. Sci. Issues 10(1), 354–359 (2013)
Nehra, V., Sharma, A.K.: PEGASIS-E: Power efficient gathering in sensor information system extended. Glob. J. Comput. Sci. Technol. Netw. Web Secur. 13(15), 1–5 (2013). Version 1.0
Tumer, A.E., Gunduz, M.: Energy-efficient and fast data gathering protocols for indoor wireless sensor networks. Sens. J. 10(9), 8054–8069 (2010). Multidisciplinary Digital Publishing Institute (MDPI)
Lachowski, R., Pellenz, M.E., Penna, M.C., Jamhour, E., Souza, R.D.: An efficient distributed algorithm for constructing spanning trees in wireless sensor networks. Sens. J. 15(1), 1518–1536 (2015). Multidisciplinary Digital Publishing Institute (MDPI)
Walden, D.: The Bellman-Ford Algorithm and Distributed Bellman-Ford (2008)
Sayyed, A., de Araújo, G.M., Bodanese, J.P., Becker, L.B.: Dual-stack single-radio communication architecture for UAV acting as a mobile node to collect data in WSNs. Sens. J. 15(9), 23376–23401 (2015). Multidisciplinary Digital Publishing Institute (MDPI)
Olsson, J.: 6LoWPAN demystified. Texas Instruments, October 2014
Kumar, R., Mundra, P.S.: Improved data gathering protocol for WSN. Int. J. Electron. Comput. Sci. Eng. 1(3), 1208–1213 (2012)
Yueyang, L., Hong, J., Guangxin, Y.: An energy-efficient PEGASIS-based enhanced algorithm in WSN. China Communications, Beijing, China, August, pp. 91–97 (2006)
Tabassum, N., Mamun, Q., Urano, Y.: COSEN: A chain oriented sensor network for efficient data collection. In: Third International Conference on Information Technology: New Generations (ITNG 2006) (2006)
Banerjee, T., Xie, B., Jun, J.H., Agrawal, D.P.: Increasing lifetime of wireless sensor networks using controllable mobile cluster heads. Wirel. Commun. Mobile Comput. 10(3), 313–336 (2010)
Ho, D.T., Shimamoto, S.: Highly reliable communication protocol for WSN-UAV system employing TDMA and PFS scheme. In: GLOBECOM Workshops (GC Wkshps) (2011)
Sotheara, S., Aomi, N., Ando, T., Jiang, L., Shiratori, N., Shimamoto, S.: Effective data gathering protocol in WSN-UAV employing priority-based contention window adjustment scheme. In: Proceedings of the Globecom Workshops, pp. 1475–1480, December 2014
Vladuta, A.V., Pura, M.L., Bica, I.: MAC protocol for data gathering in wireless sensor networks with the aid of unmanned aerial vehicles. Adv. Electr. Comput. Eng. 16(2), 51–56 (2016)
Carrabs, F., Cerrone, C., Cerulli, R., Gaudioso, M.: A novel discretization scheme for the close enough traveling salesman problem. Comput. Oper. Res. 78(C), 163–171 (2017)
The Network Simulator – ns 2. http://nsnam.sourceforge.net/wiki/index.php/Main_Page
Castiglione, A., Palmieri, F., Fiore, U., Castiglione, A., De Santis, A.: Modeling energy-efficient secure communications in multi-mode wireless mobile devices. J. Comput. Syst. Sci. 81(8), 1464–1478 (2015)
Ricciardi, S., Palmieri, F., Fiore, U., Castiglione, A., Santos-Boada, G.: Modeling energy consumption in next-generation wireless access-over-WDM networks with hybrid power sources. Math. Comput. Model. 58(5–6), 1389–1404 (2013)
Acknowledgment
The research presented in this paper is supported by the project: DataWay - Real-time Data Processing Platform for Smart Cities: Making sense of Big Data - PN-II-RU-TE-2014-4-2731. We would like to thank the reviewers for their time and expertise, constructive comments and valuable insight.
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Vlăduță, AV., Bica, I., Patriciu, VV., Pop, F. (2017). Reliable Data Collection for Wireless Sensor Networks Using Unmanned Aerial Vehicles. In: Au, M., Castiglione, A., Choo, KK., Palmieri, F., Li, KC. (eds) Green, Pervasive, and Cloud Computing. GPC 2017. Lecture Notes in Computer Science(), vol 10232. Springer, Cham. https://doi.org/10.1007/978-3-319-57186-7_25
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