CONVENTIONAL ENERGY EFFICIENT ROUTING PROTOCOLS IN WIRELESS SENSOR NETWORKS
Muaayed F. AL-RAWI
muaayed@uomustansiriyah.edu.iqMustansiryia University, Computer Engineering Department, Palestine Street, P.O. Box: 14022, Baghdad (Iraq)
Abstract
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.
Keywords:
WSN, routing protocol, energy efficientReferences
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
DOI: https://doi.org/10.1109/ICCRE.2016.7476141
Google Scholar
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
DOI: https://doi.org/10.1109/ICIC47613.2019.8985668
Google Scholar
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
DOI: https://doi.org/10.1109/CIT.2009.130
Google Scholar
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
DOI: https://doi.org/10.1109/ICACT.2007.358351
Google Scholar
Shuang-Hua, Y. (2015). Wireless Sensor Netwoks. Springer-Verlag.
Google Scholar
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.
DOI: https://doi.org/10.17148/IJARCCE.2018.71124
Google Scholar
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.
DOI: https://doi.org/10.1109/SENSORCOMM.2007.4394931
Google Scholar
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
DOI: https://doi.org/10.1109/TMC.2004.41
Google Scholar
Authors
Muaayed F. AL-RAWImuaayed@uomustansiriyah.edu.iq
Mustansiryia University, Computer Engineering Department, Palestine Street, P.O. Box: 14022, Baghdad Iraq
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