Mobile QR Code QR CODE

※ The user interface design of www.ieiespc.org has been recently revised and updated. Please contact inter@theieie.org for any inquiries regarding paper submission.

Journal Search

  1. Home
  2. Archive
  3. 2024-04 (Vol.13 No.02)
  4. 10.5573/IEIESPC.2024.13.2.105
XML PDF INFO REF

REFERENCES

1 
J. John, P. Rodrigues, ``MOTCO: Multi-objective Taylor crow optimization algorithm for cluster head selection in energy aware wireless sensor network,'' Mobile Networks and Applications, vol. 24, no. 5, pp. 1509-1525, 2019.URL
2 
M. Malakar, ``TLBO based cluster-head selection for multi-objective optimization in wireless sensor networks,'' Nature inspired computing for wireless sensor networks, pp. 303-319, 2020.URL
3 
S.A. Sert, H. Bagci, A. Yazici, ``MOFCA: Multi-objective fuzzy clustering algorithm for wireless sensor networks,'' Applied Soft Computing, vol. 30, pp. 151-165, 2015.URL
4 
G. Hacioglu, V.F.A Kand, E. Sesli, ``Multi objective clustering for wireless sensor networks,'' Expert Systems with Applications, vol. 59, pp. 86-100, 2016.URL
5 
X. Hong, M. Tao, ``Multi-objective cluster head election in cluster-based wireless sensor networks,'' International Journal of Computational Science and Engineering, vol. 15, no. 1-2, pp. 87-95, 2017.URL
6 
D. Mehta, S. Saxena, ``MCH-EOR: Multi-objective cluster head based energy-aware optimized routing algorithm in wireless sensor networks,'' Sustainable Computing: Informatics and Systems, vol. 28, p. 100406, 2020.URL
7 
S.R. Nabavi, M. Najafi, ``Optimum Cluster Head Selection with a Combination of Multi-Objective Grasshopper Optimization Algorithm and Harmony Search in Wireless Sensor Networks,'' International Journal of Smart Electrical Engineering, vol. 11, no. 02, pp. 71-82, 2022.URL
8 
T.A. Alghamdi, ``Energy efficient protocol in wireless sensor network: optimized cluster head selection model,'' Telecommunication Systems, vol. 74, pp. 331-345, 2020.URL
9 
G.S. Arunachalam, G. Ramalingam, R. Nanjappan, ``A classy energy efficient spider monkey optimization based clustering and data aggregation models for wireless sensor network,'' Concurrency and Computation: Practice and Experience, p. e7492, 2023.URL
10 
A. Sha, N. Verma, I. Poonguzhali, ``Multi‐objective‐derived energy efficient routing in wireless sensor networks using hybrid African vultures‐cuckoo search optimization,'' International Journal of Communication Systems, p. e5438, 2023.URL
11 
S. Chaurasia, K. Kumar, N. Kumar, ``MOCRAW: A Meta-heuristic Optimized Cluster head selection based Routing Algorithm for WSNs,'' Ad Hoc Networks, p. 103079, 2023.URL
12 
M. Biradar, B. Mathapathi, ``Security and Energy Aware Clustering-Based Routing in Wireless Sensor Network: Hybrid Nature-Inspired Algorithm for Optimal Cluster Head Selection,'' Journal of Interconnection Networks, vol. 23, no. 01, p. 2150039, 2023.URL
13 
K. Debasis, L.D. Sharma, V. Bohat, R.S. Bhadoria, ``An energy-efficient clustering algorithm for maximizing lifetime of wireless sensor networks using machine learning,'' Mobile Networks and Applications, pp. 1-15, 2023.URL
14 
T. Zhang, X. Zhang, J. Shi, S. Wei, ``Depthwise separable convolution neural network for high-speed SAR ship detection,'' Remote Sensing, vol. 11, no. 21, p. 2483, 2019.URL
15 
N. Alamir, S. Kamel, T.F. Megahed, M. Hori, S.M. Abdelkader, ``Developing Hybrid Demand Response Technique for Energy Management in Microgrid Based on Pelican Optimization Algorithm,'' Electric Power Systems Research, vol. 214, p. 108905, 2023.URL