In Different physical environment, for examples sensor are placed in tunnels, bridges and forest areas there is an problem in energy draining .since there is an difficult to replace the battery at each time networks lifetime is dependent when battery power gets decreased ,the network lifetime will be increased. To improve a networks lifetime three constraints are too been considered with coverage, connectivity and cardinality constraints. The energy can be saved by introducing clustering techniques individual nodes requires an more energy consumption rather than clustering .The cluster head can be selected based on the energy level with the small coverage range and activating an clustering head based on energy level and using particle swarm optimization algorithm and using greedy based algorithm for compressive sensing which can reduce the energy level while communicating source to sink node. Performance metrics can be analyzed, energy is balanced 35% when compared to the existing work.
Visali.C, Dr.J.Premalatha, Dr.S.Varadhaganapathy (2018); ENERGY BALANCING TECHNIQUES FOR MAXIMIZING NETWORKS LIFETIME IN WIRELESS SENSOR NETWORKS; International Journal of Scientific and Research Publications (IJSRP)
8(4) (ISSN: 2250-3153), DOI: http://dx.doi.org/10.29322/IJSRP.8.4.2018.p7661