• Ishani Sood
• Sonu Rana

The network of sensors consists of a large number of sensor nodes, which are intensely exposed either within or close to the phenomenon. One of the most important features in WSNs belong to a limited battery of sensor nodes. When wireless sensor nodes that operate on batteries are placed in a particular field, it is difficult to replace their batteries or provide additional power. In addition, if the sensor node consumes power fully, a portion of the network can be separated. This algorithm involves communication between groups when using the genetic algorithm. This investigation starts the preparation of the contract in the connection area and calculates the click order for all the nodes in the WSN node preparation space. When we apply RSSI (signal strength received signal) to form groups. RSSI facilitates the scope and location of wireless sensor networks (WSN), where it is increasingly necessary to look for a mathematical model that can accurately describe the relationship between the values of RSSI and distance. This technique is more specific to activate the network node that did not focus on the previous technology, as well as to enter the cluster in each node constitute the power constraints. In addition, you should be willing to modify the parameters according to the environment adjustment by yourself, so be able to minimize the error. Any genetic algorithm to be applied to activate the group leader as an optimization method to improve the performance of the group leader's election procedure. In particular, the genetic algorithm is defined as search algorithms that use the mechanics and processes of natural processes such as reproduction, gene intersection and mutation as a way to solve problems. It is not guaranteed that the results will be returned to a generation that has a higher fitness value, but when the development process is completely different, the probability of achieving the desired results is greater.

Genetic algorithm, WSN-Wireless Sensor Network, Clustering, Clique, Fitness Function, RSSI Level, Energy Dissipation

"A COMPARITIVE ANALYSIS OF CONSUMED NETWORK ENERGY IN WSN THROUGH CLUSTERED-GA", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.6, Issue 5, page no.109-113, May-2019, Available :http://www.jetir.org/papers/JETIR1905H18.pdf

"A COMPARITIVE ANALYSIS OF CONSUMED NETWORK ENERGY IN WSN THROUGH CLUSTERED-GA", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.6, Issue 5, page no. pp109-113, May-2019, Available at : http://www.jetir.org/papers/JETIR1905H18.pdf