We propose intelligent deployment strategies for heterogeneous node
deployment in wireless sensor networks. Placing the nodes in a wireless
sensor networks is a difficult problem, so we use the genetic algorithm (GA)
and particle swarm optimization (PSO) algorithm to find the optimal
locations the heterogeneous nodes thereby increasing the network life time.
The routing protocols used in this implementation are direct routing protocol
and multi-hop routing protocol. After performing many experiments we
found that the proposed methods increases the lifetime on average up to
150% of the initial lifetime. The objective function used by the models is the
inverse of lifetime and we tracked lifetime and time taken to reach a
solutions for comparing GA and PSO.