Open Access
Issue
BIO Web Conf.
Volume 97, 2024
Fifth International Scientific Conference of Alkafeel University (ISCKU 2024)
Article Number 00071
Number of page(s) 11
DOI https://doi.org/10.1051/bioconf/20249700071
Published online 05 April 2024
  • R. Hatash and A. A. Hilli, “Optimized Cluster Head Placement for Minimize Energy Consumption in Transmit-Only Wireless Sensor Networks,” 2022 Signal Processing: Algorithms, Architectures, Arrangements, and Applications (SPA), Poznan, Poland, 2022, pp. 122–127, DOI: 10.23919/SPA53010.2022.9927940. [CrossRef] [Google Scholar]
  • R. Hatash and A.A. Hilli, “Optimal placement of cluster head for maximizing lifetime in non-uniform distribution of sensor nodes in wireless sensor networks,” 2023 AIP Conference Proceedings, DOI: 10.1063/5.0156836. [Google Scholar]
  • Murtadha A., Richard H., Ahmed A. Minimizing energy consumption in transmit-only sensor networks via optimal placement of the cluster heads. Proc. Annu. Int. Conf. Mob. Comput. Networking, MOBICOM; 2016. pp. 36–38, DOI: 10.1145/2987354.2987367. [Google Scholar]
  • Murtadha A., Richard H., Ahmed A., Richard P. Lifetime optimization of transmit-only sensor networks with adaptive mobile cluster heads. Proc. Annu. Int. Conf. Mob. Comput. Networking, MOBICOM; 2019. pp. 3–5, DOI: 10.1145/3349621.3355725. [Google Scholar]
  • Hongxian T., Mary A., Gedeon N. Optimized gateway placement for interference cancellation in transmit-only LPWA networks. Sensors (Switzerland); 2021. pp. 1–23, DOI: 10.3390/s18113884. [Google Scholar]
  • Ala K., Husam A., Khalid A. Optimal cluster head positioning algorithm for wireless sensor networks. Sensors (Switzerland); 2020. pp. 1–26, DOI: 10.3390/s20133719. [Google Scholar]
  • Jia Z., Chunming Q., Raghuram S., Seokhoon Y. Improve efficiency and reliability in single-hop WSNs with transmit-only nodes. IEEE Trans. Parallel Distrib. Syst; 2013. pp. 520–534, DOI: 10.1109/TPDS.2012.148. [Google Scholar]
  • Nader A., Abdelhamid H., Pascal L., Ridha M. MWCSGA—Multi Weight Chicken Swarm Based Genetic Algorithm for Energy Efficient Clustered Wireless Sensor Network. Sensors 2021, 21, 791. https://doi.org/10.3390/s21030791. [CrossRef] [PubMed] [Google Scholar]
  • B P., G M. A hybrid firefly algorithm with particle swarm optimization for energy efficient optimal cluster head selection in wireless sensor networks. Neural Comput. Appl; 2020. pp. 7709–7723, DOI: 10.1007/s00521-019-04441-0. [Google Scholar]
  • M U, Nur, R., Jeni, A. Performance Analysis LEACH Based Genetic Algoritm in Wireless Sensor Network. Proc. - 2019 Int. Semin. Appl. Technol. Inf. Commun. Ind. 4.0 Retrosp. Prospect. Challenges, iSemantic 2019. pp. 394–399, DOI: 10.1109/ISEMANTIC.2019.8884332. [Google Scholar]
  • Biswa M., Hari M., Tarachand. A whale optimization (WOA): Meta-heuristic based energy improvement clustering in wireless sensor networks. Proc. Conflu. 2021 11th Int. Conf. Cloud Comput. Data Sci. Eng; 2021. pp. 649–654, DOI: 10.1109/Confluence51648.2021.9377181. [Google Scholar]
  • Somasekhar K., Nour M., Richared L. A single-hop clustering and energy efficient protocol for wireless sensor networks. 2015 IEEE Radio Antenna Days Indian Ocean. RADIO 2015. pp. 3–4, DOI: 10.1109/RADIO.2015.7323378. [Google Scholar]
  • Ning C., Yongbin Z., Jing L., Tiantian W., Teng H., Dongchen X. The Comparison of Single-Hop and LEACH Protocols in Wireless Sensor Networks. Proc. - 2017 IEEE Int. Conf. Comput. Sci. Eng. IEEE/IFIP Int. Conf. Embed. Ubiquitous Comput. CSE EUC 2017. pp. 426–429, DOI: 10.1109/CSE-EUC.2017.267. [Google Scholar]
  • Wendi R., Anantha C., Hari B. Energy-efficient communication protocol for wireless microsensor networks. Proc. Annu. Hawaii Int. Conf. Syst. Sci; 2000. [Google Scholar]
  • Kun W., Chih-min, Y., Li-chun, C. DORA: A Destination-Oriented Routing Algorithm for Energy-Balanced Wireless Sensor Networks. IEEE Internet Things J; 2021. pp. 2080–2081, DOI: 10.1109/JIOT.2020.3025039. [Google Scholar]
  • Tata J., Gaimella R. Optimal, secure cluster head placement through source coding techniques in wireless sensor networks. IEEE Commun. Lett; 2020. pp. 443–446, DOI: 10.1109/LCOMM.2019.2953850. [Google Scholar]
  • A P., E P D S. Modified balanced energy efficient network integrated super heterogeneous protocol. 2016 Int. Conf. Recent Trends Inf. Technol. ICRTIT 2016, 2016, DOI: 10.1109/ICRTIT.2016.7569562. [Google Scholar]
  • Gany Z., Yaxu L., Lina Z. SSEEP: State-switchable energy-conserving routing protocol for heterogeneous wireless sensor networks. ICEIEC 2019 - Proc. 2019 IEEE 9th Int. Conf. Electron. Inf. Emerg. Commun. pp. 685–688, DOI: 10.1109/ICEIEC.2019.8784570. [Google Scholar]
  • Min-Yi W., Jie D., Wan-Pei C., Wen-Qiang G. SEARCH: A Stochastic Election Approach for Heterogeneous Wireless Sensor Networks. IEEE Commun. Lett; 2015. pp. 443–446, DOI: 10.1109/LCOMM.2015.2391100. [Google Scholar]
  • Taoufik B., Jean-François D., Jean-Jacques C., Randa J., Guillaume A. Energy consumption model for sensor nodes based on LoRa and LoRaWAN. Sensors [Google Scholar]

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