References
- Abdal-Kadhim, A. M., & Leong, K. S. (2019). Investigation of wireless sensor node power consumption profile powered by heterogeneous hybrid energy harvesters with EPDD management algorithm. International Journal of Electronics, 106(8), 1264–1280. https://doi.org/https://doi.org/10.1080/00207217.2019.1584920
- Abdelli, A., Mokdad, L., Ben Othman, J., & Hammal, Y. (2018). Dealing with a non green behaviour in WSN. Simulation Modelling Practice and Theory, 84, 124–142. https://doi.org/https://doi.org/10.1016/j.simpat.2018.02.004
- Ansari, S., Gonzalez, J. P., Otero, P., & Ansari, A. (2015). Analysis of MAC strategies for underwater applications. Wireless Personal Communications, 85(2), 359–376. https://doi.org/https://doi.org/10.1007/s11277-015-2743-1
- Asudeh, A., Záruba, G. V., & Das, S. K. (2016). A general model for MAC protocol selection in wireless sensor networks. Ad Hoc Networks, 36, 189–202. https://doi.org/https://doi.org/10.1016/j.adhoc.2015.07.005
- Ayaz, M., Abdullah, A., Faye, I., & Batira, Y. (2012). An efficient dynamic addressing based routing protocol for underwater wireless sensor networks. Computer Communications, 35(4), 475–486. https://doi.org/https://doi.org/10.1016/j.comcom.2011.11.014
- Boukerche, A., & Zhou, X. (2017). MAC transmission protocols for delay-tolerant sensor networks. Computer Networks, 124, 108–125. https://doi.org/https://doi.org/10.1016/j.comnet.2017.06.012
- Cevik, T., & Gunagwera, A. (2019). A directional multicasting-based architecture for wireless sensor networks. International Journal of Electronics, 106(10), 1441–1462. https://doi.org/https://doi.org/10.1080/00207217.2019.1600734
- Dinh, T., Kim, Y., Gu, T., & Vasilakos, A. V. (2016). L-MAC: A wake-up time self-learning MAC protocol for wireless sensor networks. Computer Networks, 105, 33–46. https://doi.org/https://doi.org/10.1016/j.comnet.2016.05.015
- Donmez, M. Y., Isik, S., & Ersoy, C. (2013). Combined analysis of contention window size and duty cycle for throughput and energy optimization in wireless sensor networks. Computer Networks, 57(5), 1101–1112. https://doi.org/https://doi.org/10.1016/j.comnet.2012.11.016
- Gokturk, M. S., Gurbuz, O., & Erman, M. (2016). A practical cross layer cooperative MAC framework for WSNs. Computer Networks, 98, 57–71. https://doi.org/https://doi.org/10.1016/j.comnet.2016.01.013
- Jang, B., Lim, J. B., & Sichitiu, M. L. (2013). An asynchronous scheduled MAC protocol for wireless sensor networks. Computer Networks, 57(1), 85–98. https://doi.org/https://doi.org/10.1016/j.comnet.2012.09.002
- Khurana, M., Thalore, R., Raina, V., & Jha, M. K. (2015). Improved time synchronization in ML-MAC for WSN using relay nodes. AEU - International Journal of Electronics and Communications, 69(11), 1622–1626. https://doi.org/https://doi.org/10.1016/j.aeue.2015.07.011
- Kuo, Y.-W., & Liu, K.-J. (2015). Enhanced sensor medium access control protocol for wireless sensor networks in the ns-2 simulator. IEEE Systems Journal, 9(4), 1311–1321. https://doi.org/https://doi.org/10.1109/JSYST.2014.2332342
- Liu, Y., Liu, A., Zhang, N., Liu, X., Ma, M., & Hu, Y. (2019). DDC: Dynamic duty cycle for improving delay and energy efficiency in wireless sensor networks. Journal of Network and Computer Applications, 131, 16–27. https://doi.org/https://doi.org/10.1016/j.jnca.2019.01.022
- Martinez-Bauset, J., Guntupalli, L., & Li, F. Y. (2015). Performance analysis of synchronous duty-cycled MAC protocols. IEEE Wireless Communications Letters, 4(5), 469–472. https://doi.org/https://doi.org/10.1109/LWC.2015.2439267
- Nasri, N., Ben Fradj, A., & Kachouri, A. (2017). Optimised cross-layer synchronisation schemes for wireless sensor networks. International Journal of Electronics, 104(7), 1178–1189. https://doi.org/https://doi.org/10.1080/00207217.2017.1292555
- Ojha, R. P., Srivastava, P. K., & Sanyal, G. (2019). Improving wireless sensor networks performance through epidemic model. International Journal of Electronics, 106(6), 862–879. https://doi.org/https://doi.org/10.1080/00207217.2019.1570563
- Pak, W., & Bahk, S. (2012). Centralized route recovery based on multi-hop wakeup time estimation for wireless sensor networks with ultra low duty cycles. Computer Communications, 35(11), 1355–1367. https://doi.org/https://doi.org/10.1016/j.comcom.2012.03.014
- Radha, S., Bala, G. J., & Nagabushanam, P. (2019). FRAME routing with game theory optimization for wireless networks. International Journal of Communication Systems, e4238. https://doi.org/https://doi.org/10.1002/dac.4238
- Radha, S., & Josemin Bala, G. Flooding in static and free deployment for underwater wireless sensor networks. Signal processing and communication (ICSPC), 2017 international conference, IEEE,2017. (n.d.)28–32.
- Radha, S., & Mathew, J. (n.d.). Linearization of low noise amplifier for wireless sensor networks. Inventive Systems and Control (ICISC), 1–4.
- Radha, S., Nagabushanam, P., Reddy, T. J., & Sachin, B. Transmission distance in MAC protocol for wireless sensor networks”, 2018 second international conference on inventive communication and computational technologies (ICICCT), IEEE, 2018. (n.d.).
- Ramadan, K. F., Dessouky, M. I., Abd-Elnaby, M., & Abd El-Samie, F. E. (2018). Node-power-based MAC protocol with adaptive listening period for wireless sensor networks. AEU - International Journal of Electronics and Communications, 84, 46–56. https://doi.org/https://doi.org/10.1016/j.aeue.2017.10.034
- Raza, M., Le-minh, H., Aslam, N., & Hussain, S. (2018). A novel MAC proposal for critical and emergency communications in industrial wireless sensor networks. Computers & Electrical Engineering, 72, 976–989. https://doi.org/https://doi.org/10.1016/j.compeleceng.2018.02.027
- Sherazi, H. H. R., Grieco, L. A., & Boggia, G. (2018). A comprehensive review on energy harvesting MAC protocols in WSNs: Challenges and tradeoffs. Ad Hoc Networks, 71, 117–134. https://doi.org/https://doi.org/10.1016/j.adhoc.2018.01.004
- Sundararaj, V., Muthukumar, S., & Kumar, R. S. (2018). An optimal cluster formation based energy efficient dynamic scheduling hybrid MAC protocol for heavy traffic load in wireless sensor networks. Computers & Security, 77, 277–288. https://doi.org/https://doi.org/10.1016/j.cose.2018.04.009
- Wang, Z., Zhang, H., Lu, T., Sun, Y., & Liu, X. (2017). A new range-free localisation in wireless sensor networks using support vector machine. International Journal of Electronics, 105(2), 244–261. https://doi.org/https://doi.org/10.1080/00207217.2017.1357198
- Xu, D., Jiao, W., Yin, Z., Huang, J., Peng, Y., Chen, X., Fang, D., & Tang, Z. (2018). Maximizing throughput for low duty-cycled sensor networks. Computer Networks, 139, 48–59. https://doi.org/https://doi.org/10.1016/j.comnet.2018.03.017
- Yadav, S., & Kumar, V. (2017). Optimal clustering in underwater wireless sensor networks: Acoustic, EM and FSO communication compliant technique. IEEE Access, 5, 12761–12776. https://doi.org/https://doi.org/10.1109/ACCESS.2017.2723506
- Yang, S.-H.*, Tseng, H.-W.*, Wu, E. H.-K.†, & Chen, G.-H. (2005). Utilization based duty cycle tuning MAC protocol for wireless sensor networks. IEEE Globecom, 0-7803-9415-1/05, 2005 IEEE. (n.d.).
- Zenia, N. Z., Aseeri, M., Ahmed, M. R., Chowdhury, Z. I., & Shamim Kaiser, M. (2016). Energy-efficiency and reliability in MAC and routing protocols for underwater wireless sensor network: A survey. Journal of Network and Computer Applications, 71, 72–85. https://doi.org/https://doi.org/10.1016/j.jnca.2016.06.005
- Zhang, J., Li, Z., Xia, F., Tang, S., Shen, X., & Zhao, B. (2014). Cooperative scheduling for adaptive duty cycling in asynchronous sensor networks. The Computer Journal, 58(6), 1267–1279. https://doi.org/https://doi.org/10.1093/comjnl/bxu077