IJSRP, Volume 9, Issue 5, May 2019 Edition [ISSN 2250-3153]
Samson Hansen Sackey, Junfeng Chen, Samuel Nartey Kofie, Ninjerdene Bulgan
There are vast application ideas in Wireless sensor networks (WSNs) but their prime disadvantage is that the energy of nodes are limited and energy cannot be supplied. Most traditional routing protocols encounter complications in WSNs. In recent times, thorough study of brain storm optimization (BSO) algorithms has been applied in many fields and now we use it to solve routing problems. Initially, the low energy adaptive clustering hierarchy (LEACH) is considered using fundamental operations and then optimized using BSO to extend the lifetime of the WSN. The proposed routing algorithm relies on a novel fitness which considers energy and distance. The outcome of LEACH is evaluated and compared; obtained result shows that the proposed approach performs more effectively.