Wireless Sensor Networks (WSNs) are often used for observing physical world applications which performs the effective automation process. Sensor Networks contain numerous nodes that can sense and gather statistical data. Data gathering become obvious by sensor nodes over the sensor deployed environment. These sensor nodes function by the power source, i.e. battery. The battery has been fixed in the sensor nodes. So it is difficult to replace or remove the battery from the sensor nodes. One of the prime key design issues in the Wireless Sensor Networks is power consumption i.e. energy. When the sensed data is transmitted to the sink then sensor nodes consumes the energy from battery. Since nodes are functioning by this battery power. The proposed algorithm of Optimized Radio Energy Algorithm (OREA) provides efficient energy dissipation and data transmission to the sink is quite faster. The dimension of overall performance of a service in the WSNs is known as Quality of Service (QoS). The Quality of Service metrics traffic load and packet delivery ratio has been compared OREA with existing algorithms such as random and homogenous selection. OREA provides better QOS delivery and also prolonged battery life time in order to achieve the efficient usage of power. The simulation of MATLAB results manifested to attain the network life time has prolonged in comparison with existing algorithms.
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Hayes, T., & Ali, F. H. (2016). Wireless sensor node modelling for energy efficiency analysis in data-intensive periodic monitoring. Ad Hoc Networks,50, 128–144.
Boukerche, A., & Zhou, X. (2017). MAC transmission protocols for delay-tolerant sensor networks. Computer Networks,124, 108–125.
Trang, H. T. H., Dung, L. T., & Hwang, S. O. (2018). Connectivity analysis of underground sensors in wireless underground sensor networks. Ad Hoc Networks,71, 104–116.
Thirukrishna, J. T., Karthik, S., & Arunachalam, V. P. (2018). Revamp energy efficiency in homogeneous wireless sensor networks using Optimized Radio Energy Algorithm and Power-aware distance source routing protocol. Future Generation Computer System,81, 331–339.
Wang, X., & Li, J. (2015). Improving the network lifetime of MANETs through cooperative MAC protocol design. IEEE Transactions on Parallel and Distributed Systems,26(4), 1010–1020.
Kang, D., Kim, H.-S., Joo, C., & Bahk, S. (2018). ORGMA: Reliable opportunistic routing with gradient forwarding for MANETs. Computer Networks,131(11), 52–64.
Zuhra, F. T., Bakar, K. A., Ahmed, A., & Tunio, M. A. (2017). Routing protocols in wireless body sensor networks: A comprehensive survey. Journal of Network and Computer Applications,99, 73–97.
Jerath, K., Brennan, S., & Lagoa, C. (2018). Bridging the gap between sensor noise modeling and sensor characterization. Measurement,116, 350–366.
Fu, C., Jiang, Z., Wei, W., & Wei, A. (2013). An energy balanced algorithm of LEACH Protocol in WSN. International Journal of Computer Science,10(1), 354–359.
Kumari, N., Kumar, R., & Bajaj, R. (2018). Energy efficient communication using reconfigurable directional antenna in MANET. Procedia Computer Science,125, 194–200.
Faloutsos, M., Faloutsos, P., & Faloutsos, C. (2008). On power law relationships of the Internet topology. In Proc. ACM SIGCOMM’99 (pp. 251–262).
Manap, Z., et al. (2013). A review on hierarchical routing protocols for wireless sensor networks. Wireless Personal Communications,72(2013), 1077–1104.
Glass, S., Mahgoub, I., & Rathod, M. (2017). Leveraging MANET-based cooperative cache discovery techniques in VANETs: A survey and analysis. IEEE Communications Surveys & Tutorials, Year,19(4), 2640–2661.
Chen, Y., Zhu, J., Shen, Y., Jiang, X., & Tokuda, H. (2017). On the rate of successful transmissions in finite slotted Aloha MANETs. Ad Hoc Networks,62, 76–87.
Fki, E., Lahyani, I., Abdennadher, I., & Abid, R. (2017). Qos-driven architectural mining for publish/subscribe systems deployed on MANET. Procedia Computer Science,112, 260–269.
Ye, D., Zhang, M., & Yang, Y. (2015). A multi-agent framework for packet routing in wireless sensor networks. Sensors,15(5), 10026–10047.
Ghander, A., & Shaaban, E. (2015). Power aware cooperation enforcement MANET routing protocols. Procedia Computer Science,73, 162–171.
Carbajo, R. S., Carbajo, E. S., Basu, B., & McGoldrick, C. (2017). Routing in wireless sensor networks for wind turbine monitoring. Pervasive and Mobile Computing,39, 1–35.
Jabbar, W. A., Ismail, M., & Nordin, R. (2017). Energy and mobility conscious multipath routing scheme for route stability and load balancing in MANETs. Simulation Modelling Practice and Theory,77, 245–271.
Wu, Y., Li, X.-Y., Li, Y., & Lou, W. (2010). Energy-efficient wake-up scheduling for data collection and aggregation. IEEE Transactions on Parallel and Distributed Systems,21(2), 275–287.
Vasavi, J., & Udgata, S. K. (2018). Lifetime maximisation of wireless sensor networks with multiple sinks using multiple paths and variable communication range. International Journal of Sensor Networks,26(3), 200–211.
Petrioli, C., Spenza, D., Tommasino, P., & Trifiletti, A. (2014). A novel wake-up receiver with addressing capability for wireless sensor nodes. In Proceedings of IEEE international conference on distributed computing in sensor systems (DCOSS 2014) (pp. 18–25).
Krasnopeev, A., Xiao, J.-J., & Luo, Z.-Q. (2005). Minimum energy decentralized estimation in a wireless sensor network with correlated sensor noises. EURASIP Journal on Wireless Communications and Networking,4, 473–482.
Singh, V. K., Verma, S., & Kumar, M. (2016). Privacy Preserving In-network Aggregation in Wireless Sensor Networks. Procedia Computer Science,94, 216–223.
Mittal, N., Singh, U., & Sohi, B. S. (2017). A stable energy efficient clustering protocol for wireless sensor networks. Wireless Networks,23(6), 1809–1821.
Ni, C., Lee, T., Kim, G., & Kim, C. (2009). An energy aware routing protocol using multiple replies for Ad Hoc networks. In ISECS international colloquium on computing, communication, control, and management (CCCM 2009) (Vol. 3, pp. 225–228).
Moritz, G., Golatowski, F., Lerche, C., & Timmermann, D. (2013). 'Beyond 6LoWPAN: Web services in wireless sensor networks. IEEE Transactions on Industrial Informatics,9(4), 1795–1805.
Lersteau, C., Rossi, A., & Sevaux, M. (2018). Minimum energy target tracking with coverage guarantee in wireless sensor networks. European Journal of Operational Research,265(3), 882–894.
He, S., Dai, Y., Zhou, R., & Zhao, S. (2012). A clustering routing protocol for energy balance of WSN based on genetic clustering algorithm. IERI Procedia,2, 788–793.
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Senthil Kumar, S., Thirukrishna, J.T. An Efficient QoS Based Data Packet Transmission in Wireless Sensor Networks Using OREA. Wireless Pers Commun 113, 1839–1850 (2020). https://doi.org/10.1007/s11277-020-07295-1
- Wireless sensor networks
- IEEE 802.15.4
- Quality of service
- Sensor node