The latest innovations in the wireless sensor network (WSN) have resulted in many new protocols for sensor networks, which
have considerable energy consciousness. At the same time, most of the attention is given to the routing protocols, since it may differ from
software and network architecture differences. AnEnergy Efficient Routing Protocol is one of the key concerns of WSN. In this paper, we
present a review on energy-efficient hierarchical routing protocols known as Low-energy adaptive clustering hierarchy (LEACH) routing
protocols. The main focus of our study is to study the results obtained when LEACH is used with artificial intelligence technique.A
comparative analysis of existing work is also been provided to show the effectiveness of LEACH in terms of energy consumption. It has
been examined that LEACH with Artificial Neural Network (ANN) perform well with an energy consumption of upto 0.3 J.
Manish Mahajan :
Chandigarh Engineering College, Landran, Mohali, India.
Rajeev Sharma :
Chandigarh Engineering College, Landran, Mohali, India.
WSN, routing, LEACH, ANN, Fuzzy
In this paper, the survey from 2001 to 2019 in the field of
WSN with the utilization of LEACH protocol has been
conducted. LEACH has attracted the attention of the
research community in the field of WSN. This in itself
illustrates the importance of this agreement. Researchers
have made various modifications to the LEACH
protocol. The successor to the LEACH protocol is now
available from single-hop to multi-hop scenarios. A wide
range of work related to LEACH has been completed,
and for many years new research on the WSN field has
been a good idea through LEACH and its variants. This
paper investigates the variants of the LEACH routing
protocol proposed so far and discusses their
enhancements and work. From the existing work, it has
been examined that LEACH with ANN performs well
with reduced energy consumption upto 0.3 J.
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