ABSTRACT
In Swarm Intelligence, various techniques are being planned as far as ACO, PSO, Fish Swarm, Bats Swarm,
Bacterial Foraging, TABU, GA search and so forth. TS and GA is a single algorithm that firstly creates a set of
random valid solutions, and for several iterations it optimizes them using a TS-based method. Afterwards, it takes
this set of optimized solutions as the initial population for the GA, and iterates until the adopted stop criteria have
been met. The objective of this research paper is to implement TABU-GA search to make the protocol more
efficient and effective. This paper proposed MSEEC (multilevel stable and energy efficient clustering protocol)
utilizing TABU-GA mechanism in the territory of 200m×200m.The recreation is done under the MATLAB 2013 a
environment and observed the performance of TABU-GA MSEEC against MSEEC protocol on 4% increase in the
case of first node dead (FND) and 28% increase in the case of last node dead (LND).
Keywords: - Wireless sensor network, heterogeneity, TABU-GA mechanism, MATLAB, FND, LND.