Heinzelman, 2000, Energy-efficient communication protocol for wireless microsensor networks, 10
El Khediri, 2013
Gbadouissa, 2020, HGC: Hypergraph based clustering scheme for power aware wireless sensor networks, Future Gener. Comput. Syst., 105, 175, 10.1016/j.future.2019.11.043
S. El Khediri, R.U. Khan, N. Nasri, A. Kachouri, MW-Leach: Low energy adaptive clustering hierarchy approach for WSN.
Datta, 2009, A self-stabilizing o (n)-round k-clustering algorithm, 147
Karahan, 2014, Effects of transmit-based and receive-based slot allocation strategies on energy efficiency in WSN MACs, Ad Hoc Netw., 13, 404, 10.1016/j.adhoc.2013.09.001
Sah, 2018, Parametric survey on cross-layer designs for wireless sensor networks, Comp. Sci. Rev., 27, 112, 10.1016/j.cosrev.2017.12.002
Maitra, 2016, A comparative study on popular MAC protocols for mixed wireless sensor networks: From implementation viewpoint, Comp. Sci. Rev., 22, 107, 10.1016/j.cosrev.2016.09.004
Larsson, 2011, A self-stabilizing (k, r)-clustering algorithm with multiple paths for wireless ad-hoc networks, 353
El Khediri, 2020, Energy efficient adaptive clustering hierarchy approach for wireless sensor networks, Int. J. Electron., 10.1080/00207217.2020.1756454
Zhang, 2013, Adaptive clustering for maximizing network lifetime and maintaining coverage, J. Netw., 8, 616
Kuila, 2012, Energy efficient load-balanced clustering algorithm for wireless sensor networks, Procedia Technol., 6, 771, 10.1016/j.protcy.2012.10.093
Loscri, 2005, A two-levels hierarchy for low-energy adaptive clustering hierarchy (TL-LEACH), 1809
Kumar, 2009, EECHE: energy-efficient cluster head election protocol for heterogeneous wireless sensor networks, 75
Mann, 2017, Improved metaheuristic based energy-efficient clustering protocol for wireless sensor networks, Eng. Appl. Artif. Intell., 57, 142, 10.1016/j.engappai.2016.10.014
Tripathi, 2007, Multi-objective particle swarm optimization with time variant inertia and acceleration coefficients, Inf. Sci., 177, 5033, 10.1016/j.ins.2007.06.018