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Conventional energy efficient routing protocols in wireless sensor networks

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Warianty tytułu
Języki publikacji
EN
Abstrakty
EN
Wireless sensor network is a significant piece of wireless communication. It is a gathering of an enormous number of sensor nodes that are set in remote spots. The sensors have ability to do a typical undertaking. So energy exhaustion plays a significant job in keeping up a stable network. To build the system lifetime, a different energy effective algorithm is required which expands the network lifetime and makes the network more energy productive. For the augmenting, the lifetime of the network diverse routing technique has been utilized which help in expanding the lifetime of the network. This article portrays the diverse routing protocol which helps in energy efficient routing in a wireless sensor network.
Rocznik
Strony
80--87
Opis fizyczny
Bibliogr. 8 poz., fig., tab.
Twórcy
  • Mustansiryia University, Computer Engineering Department, Palestine Street, P.O. Box: 14022, Baghdad, Iraq,
Bibliografia
  • [1] Ayoob, M., Zhen, Q., Adnan, S., & Gull, G. (2016). Research of Improvement on LEACH and SEP Routing Protocols in Wireless Sensor Networks. 2016 IEEE International Conference on Control and Robotics Engineering (pp. 1–5). Singapore. http://doi.org/10.1109/ ICCRE.2016.7476141
  • [2] Bria, R., Wahb, A., & Alaydrus, M. (2019). Energy Efficiency Analysis of TEEN Routing Protocol with Isolated Nodes. 2019 Fourth International Conference on Informatics and Computing (pp. 1–5). Semarang, Indonesia. http://doi.org/10.1109/ICIC47613.2019.8985668
  • [3] Gautam, N., Lee, W., & Pyun, J. (2009). Track-Sector Clustering for Energy Efficient Routing in Wireless Sensor Networks. 2009 Ninth IEEE International Conference on Computer and Information Technology (pp. 116–121). Xiamen. http://doi.org/10.1109/CIT.2009.130
  • [4] Jung, S., Han, Y., & Chung, T. (2007). The Concentric Clustering Scheme for Efficient Energy Consumption in the PEGASIS. International Conference on Advanced Communication Technology (pp. 260–265). Okamoto, Kobe. http://doi.org/10.1109/ICACT.2007.358351
  • [5] Shuang-Hua, Y. (2015). Wireless Sensor Netwoks. Springer-Verlag.
  • [6] Swetha, R., Santhosh Amarnath, V., & Anitha Sofia, V. S. (2019). Wireless Sensor Network: A Survey. International Journal of Advanced Research in Computer and Communication Engineering, 7(11), 144–117.
  • [7] Xiangning, F., & Yulin, S. (2007). Improvement on LEACH Protocol of Wireless Sensor Network. In Proceedings of the 2007 International Conference on Sensor Technologies and Applications (SENSORCOMM '07) (pp. 260–264). IEEE Computer Society.
  • [8] Younis, O., & Fahmy, S. (2004). Heed. A hybrid, Energy-Efficient, Distributed Clustering Approach for Ad-hoc Networks. IEEE Transactions on Mobile Computing, 3(4), 366–369. http://doi.org/10.1109/TMC.2004.41
Uwagi
Opracowanie rekordu ze środków MNiSW, umowa Nr 461252 w ramach programu "Społeczna odpowiedzialność nauki" - moduł: Popularyzacja nauki i promocja sportu (2020).
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-b89d76c0-6086-438b-8197-cb90686e47ba
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