000			a
999			_c19049 _d19049
003			OSt
005			20230327104855.0
008			230327b xxu||||| |||| 00| 0 eng d
040			_aAIKTC-KRRC _cAIKTC-KRRC
100			_920284 _aTiwari, Poonam
245			_aEnergy optimized fuzzy based clustered routing protocol for wireless sensor network
250			_aVol.13(3), Sep
260			_aChennai _bICT Academy _c2022
300			_a2723-2730p.
520			_aWireless sensor networks are fast developing technical platforms with a wide range of applications. It’s tough to replace or recharge sensor nodes' power supply because they're battery-powered and may be employed in hazardous or inaccessible areas. In sensor networks, reducing energy consumption has long been a critical concern. Due to the lengthy distance between sensor nodes and the base station, data transmission from sensor nodes to the base station consumes the majority of the energy. Several academics have recently claimed that clustering is an effective approach to reduce energy consumption during data transmission while also extending the lifetime of networks. In this paper, an energy-optimized-fuzzy based clustering (EOFBC) strategy is used to improve the transmission efficiency and network longevity of network. The simulation findings suggest that proposed fuzzy logic-based techniques are superior to the existing clustering- based protocols. The simulation findings also reveal that the proposed scheme outperforms the other existing algorithms and significantly increases the lifetime of sensor networks.
650		0	_94619 _aEXTC Engineering
700			_911962 _aGupta, Sandeep Kumar
773	0		_tICTACT journal on communication technology _x0976-0091 _dChennai ICT Academy
856			_uhttps://ictactjournals.in/paper/IJCT_Vol_13_Iss_3_Paper_1_2723_2730.pdf _yClick here
942			_2ddc _cAR