Wireless sensor networks [WSN] are popular as
they are potentially low cost solution to various real world
challenges. Environment is monitored by the autonomous
nodes of the WSNs. Recent research in WSN has led to
various new routing protocols. Routing protocols have
proven to increase the network throughput, reduced delay in
packet transfer and save energy. Hence in this work we
propose a novel clustering protocol that uses bacterial
foraging algorithm [BFOA] inspired approach towards
improving the existing basic LEACH protocol for reduction
in energy consumption with respect to communication,
aiming to enhance the network lifetime. Simulated results
prove that implementing this kind of computational
intelligence in the pre-existing protocol considerably
improves its performance.
Bhavana Adiga H. P : Department of ECE, JNNCE, Shimoga,
Karnataka, India
Chandana N : Department of ECE, JNNCE, Shimoga,
Karnataka, India
Dhawala Bhagawat : Department of ECE, JNNCE, Shimoga,
Karnataka, India
Keerthana A.B : Department of ECE, JNNCE, Shimoga,
Karnataka, India
E. Sandeep Kumar : Department of TCE, JNNCE, Shimoga,
Karnataka, India
Clustering Protocol
Bacterial Foraging
Algorithm
LEACH Protocol
Computational Intelligence
The novel idea proposed in this paper reflects on the
computational intelligence in improving network
performance by reducing overall network energy
consumption and increase in node survival rate. The
proposed methodology is an improved version of basic
LEACH protocol. To validate this algorithm simulations
had been performed using MATLAB. The simulation
results proved the higher performance of B-LEACH as
compared to basic LEACH, in terms of performance
metrics like number of alive nodes ,data transmission rate
and energy dissipation within the network and hence
provides a proof that the method can be implemented in
future network with ease.
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