Efficient Energy Conservation Technique in Wireless Sensor Network

References

[1] Murugan, K., & Pathan, A. K. (2016). Prolonging the life of wireless sensor networks using secondary sink nodes, Telecommunication Systems, 62, 347-361

[2] Anastasi, G., Conti, M., Francesco, M., & Passarella, A. (2009). Energy conservation in wireless sensor networks: A survey, Ad Hoc Networks, 7(3), 53-568.

[3] Perwaiz, N., & Javed, M. Y. (2009). A study on Distributed Diffusion and Its Variants. in 12th International Conference on Computing and Information Technology, 44–49.

[4] Intanagonwiwat, C., G. Govindan, R. & Estrin, D. (2000). Directed diffusion: s scalable and robust communication paradigm for sensor networks, Proceedings of the 6th Annual international Conference on Mobile Computing, 56-67.

[5] Kulik, J., Heinzelman, W., & Balakrishnan, H. (2002). Negotiation-based protocols for disseminating information in wireless sensor networks, Wireless Networks, 8(2), 169-185.

[6] Karthickraja, N. P., & Sumathy, V. A. (2010). Study of Routing Protocols and a Hybrid Routing Protocol based on Rapid Spanning Tree and Cluster Head Routing in Wireless Sensor Network, Proc. IEEE International Conference on Wireless Communications and Sensor Computing, 1–6.

[7] Rahman, Md. A., Anwar, S., Pramanik, Md. I., & Rahman, Md. F. (2013). A survey on energy efficient routing techniques in wireless sensor network. Proceedings of 15th International Conference on Advanced Communications Technology, 200-205.

[8] Al-Karaki, J. N., & Kamal, A. E. (2004). Routing Techniques in Wireless Sensor Networks: A survey, IEEE Wireless Communications, 11(6), 6–28.

[9] Kumar, S.A., Ilango, P., & Dinesh, G.H. (2016). A Modified LEACH Protocol for Increasing Lifetime of the Wireless Sensor Network, Cybernetics and Information Technologies, 16(3), 154-164. DOI: 10.1515/cait-2016-0040.

[10] Ez-zazi, I., Arioua, M., & El Oualkadi, A. (2017). On The Design of Coding Framework for Energy Efficient and Reliable Multi-Hop Sensor Networks, The 8th International Conference on Ambient Systems, Networks and Technologies,Procedia Computer Science 109C (2017),537–544.

[11] Shao, X., Wang, C., & Gao, J. (2018). Research on Network Coding Aware Energy Efficient Routing for Wireless Sensor Networks, EURASIP Journal on Wireless Communications and Networking, 2018(231), 1-31. doi.org/10.1186/s13638-018-1245-8.

[12] Ghaffari, A. (2014). An Energy Efficient Routing Protocol for Wireless Sensor Networks using A-star Algorithm, Journal of Applied Research and Technology, 12, 815-822.

[13] Liu, Y., Wu, Q., Zhao, T. Tie, Y., Bai, F., & Jin, M. (2019). An Improved Energy-Efficient Routing Protocol for Wireless Sensor Networks, Sensors, 19 (4579), 1-20. doi:10.3390/s19204579.

[14] Heinzelman, W. R., Chandrakasan, A. Balakrishnan, H. (200). Energy efficient routing protocols for wireless microsensors networks, In Proceedings of 33rd Annual Hawaii International Conference on system and science, 1-10

[15] Chai, G. Xu, M., Xu, W. & Lin, Z. (2012). Enhancing sink-location privacy in wireless sensor networks through k-anonymity, International Journal of Distributed Sensor Networks, 8(4), 1-16

@article{1702745,
      author = {Chinemelu, C., Akpoilih, O.E.},
      title = {Efficient Energy Conservation Technique in Wireless Sensor Network},
      journal = {Iconic Research And Engineering Journals},
      year = {2021},
      volume = {4},
      number = {12},
      pages = {298-306},
      issn = {2456-8880},
      url = {https://www.irejournals.com/formatedpaper/1702745.pdf},
      abstract = {This paper has presented efficient energy conservation for wireless sensor network (WSN) security. As a form of distributed network, a WSN aids the gathering of information in wireless communication within an area of interest. A WSN deployed for application faces the challenge of limited power over use time. This is because the energy of nodes in sensor networks ensures that reliable communication among nodes is achieved with less cost when properly managed. An algorithm that performs routine task anchored on node clustering to improve and efficiently manage energy level of sensor nodes is modeled and implemented. A WSN topology model and algorithm was developed and implemented in MATLAB. Simulations were conducted in MATLAB environment to analyze the effectiveness of the developed algorithm in ensuring that energy consumed by a node is minimized. Results obtained indicated that the overall energy consumed by the WSN topology was less than the initial energy of each node set as 2.0 J. In terms of the variation of energy consumed with respect to traffic volume, it was observed that as the number of messages transmitted across the WSN increases, the average energy consumed per node and energy consumed by the network increases.  In the case of the average energy consumed per node, the value increases from 0.0008075 J to 0.003358 J, and increases from 0.1116 J to 0.3820 J in terms of energy consumed by nodes for 5000 messages to 20000 messages respectively.},
      keywords = {Energy conservation; WSN topology; Sensor; Wireless communication},
      month = {June},
  }