A COMPREHENSIVE ANALYSIS OF ENERGY EFFICIENT WIRELESS SENSOR NETWORK (WSN) PROTOCOLS
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Abstract
Wireless Sensor Networks (WSNs) include many tiny and low energy and cheaper nodes in different areas for measuring the environmental parameters like temperature and humidity. Hence, the usage of WSNs has become an adaptable means of data transfer across different fields due to the advancement of wireless technology. It is noted that these networks,which use nodes for event detection and identification, gather information by means of simple calculations and send it to a particular Base Station (BS) via gateway nodes. The applications of WSNs can be classified into monitoring and tracking,which are used in areas such as environmental monitoring, health diagnostics, military surveillance, and many others.
nergy consumption is still a major issue of concern, sensor nodes in particular, use energy in sensing data and transmitting it. Energy savings techniques like clustering and routing protocols are important for increasing the life time of the network.
hus, this research aims at analysing the different aspects of improving energy efficiency and network performance,especially in the context of the clustering algorithms, such as the Multi-level Stable and Energy Efficient Clustering (MSEEC) protocol. The paper discusses major issues and suggests some new combined routing approaches for WSNs with the problems connected with fault tolerance, topology, scalability, and power consumption.
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References
Behera, T. M., Samal, U. C., Mohapatra, S. K., Khan, M. S., Appasani, B., Bizon, N., & Thounthong, P. (2022).
Energy-efficient routing protocols for wireless sensor networks: Architectures, strategies, and
performance. Electronics, 11(15), 2282.
Dhabliya, D., Soundararajan, R., Selvarasu, P., Balasubramaniam, M. S., Rajawat, A. S., Goyal, S. B., ... & Suciu,
G. (2022). Energy-efficient network protocols and resilient data transmission schemes for wireless sensor
Networks—An experimental survey. Energies, 15(23), 8883.
Gupta, S. K., & Singh, S. (2022). Survey on energy efficient dynamic sink optimum routing for wireless sensor
network and communication technologies. International Journal of Communication Systems, 35(11), e5194.
Khan, Z. U., Gang, Q., Muhammad, A., Muzzammil, M., Khan, S. U., Affendi, M. E., ... & Khan, J. (2022). A
comprehensive survey of energy-efficient MAC and routing protocols for underwater wireless sensor
networks. Electronics, 11(19), 3015.
Alomari, M. F., Mahmoud, M. A., & Ramli, R. (2022). A Systematic Review on the Energy Efficiency of Dynamic
Clustering in a Heterogeneous Environment of Wireless Sensor Networks (WSNs). Electronics, 11(18), 2837.
Ullah, F., Khan, M. Z., Mehmood, G., Qureshi, M. S., & Fayaz, M. (2022). Energy efficiency and reliability
considerations in wireless body area networks: a survey. Computational and Mathematical Methods in
Medicine, 2022.
Jonnalagadda, S., Shyamala, K., & Roja, G. (2022). Energy-efficient routing in WSN: a review. ECS
Transactions, 107(1), 1111.
Sahu, S., & Silakari, S. (2022). Energy efficiency and fault tolerance in wireless sensor networks: Analysis and
review. Soft Computing: Theories and Applications: Proceedings of SoCTA 2021, 389-402.
Sanjeevi, P., S. Prasanna, B. Siva Kumar, G. Gunasekaran, I. Alagiri, and R. Vijay Anand. "Precision agriculture
and farming using Internet of Things based on wireless sensor network." Transactions on Emerging
Telecommunications Technologies 31, no. 12 (2020): e3978.
Bhasin, Vandana, Sushil Kumar, P. C. Saxena, and C. P. Katti. "Security architectures in wireless sensor network."
International Journal of Information Technology 12, no. 1 (2020): 261-272
Balaji, Subramanian, E. Golden Julie, and Y. Harold Robinson. "Development of fuzzy based energy efficient
cluster routing protocol to increase the lifetime of wireless sensor networks." Mobile Networks and Applications
, no. 2 (2019): 394-406.
Goyal, Nitin, Mayank Dave, and Anil Kumar Verma. "Protocol stack of underwater wireless sensor network:
classical approaches and new trends." Wireless Personal Communications 104, no. 3 (2019): 995-1022.
Han, B., Ran, F., Li, J., Yan, L., Shen, H., & Li, A. (2022). A novel adaptive cluster based routing protocol for
energy-harvesting wireless sensor networks. Sensors, 22(4), 1564.
Narayan, V., Daniel, A. K., & Chaturvedi, P. (2023). E-FEERP: Enhanced Fuzzy based Energy Efficient Routing
Protocol for Wireless Sensor Network. Wireless Personal Communications, 1-28.
Poornima, E., & Bindhu, C. (2010). Prevention of WormholeAttacks in Geographic Routing
Protocol. International Journal of Computer Network and Security (IJCNS), 3(1), 42-50.Wang, A., Yang, D., & Sun, D. (2012). A clustering algorithm based on energy information and cluster heads
expectation for wireless sensor networks. Computers & Electrical Engineering, 38(3), 662-671.
Shokouhifar, M., & Jalali, A. (2015). A new evolutionary based application specific routing protocol for clustered
wireless sensor networks. AEU-International Journal of Electronics and Communications, 69(1), 432-441.
Manzoor, B., Javaid, N., Rehman, O., Akbar, M., Nadeem, Q., Iqbal, A., & Ishfaq, M. (2013). Q-LEACH: A new
routing protocol for WSNs. Procedia Computer Science, 19, 926-931.
Bara’a, A. A., & Khalil, E. A. (2012). A new evolutionary based routing protocol for clustered heterogeneous
wireless sensor networks. Applied Soft Computing, 12(7), 1950-1957.
Barcelo, M., Correa, A., Vicario, J. L., & Morell, A. (2016). Cooperative interaction among multiple RPL
instances in wireless sensor networks. Computer Communications, 81, 61-71.
Srivastava, J. R., & Sudarshan, T. S. B. (2015). A genetic fuzzy system based optimized zone based energy
efficient routing protocol for mobile sensor networks (OZEEP). Applied Soft Computing, 37, 863-886.
Chen, C. W., & Weng, C. C. (2012). A power efficiency routing and maintenance protocol in wireless multi-hop
networks. Journal of Systems and Software, 85(1), 62-76.
Shankar, T., Shanmugavel, S., & Rajesh, A. (2016). Hybrid HSA and PSO algorithm for energy efficient cluster
head selection in wireless sensor networks. Swarm and Evolutionary Computation, 30, 1-10.
Zahedi, Z. M., Akbari, R., Shokouhifar, M., Safaei, F., & Jalali, A. (2016). Swarm intelligence based fuzzy routing
protocol for clustered wireless sensor networks. Expert Systems with Applications, 55, 313-328.