WSN USINGCRYPTOGRAPHY BASEDGENETICAND FUZZY K MEANS CLUSTERING ALGORITHM

Abstract

Recent advances in sensor technology, low-power microelectronics, miniaturization, and wireless 
network administration have paved the way for the development of autonomously monitoring and 
regulating Mobile Adhoc Networks. Wireless sensor networks (WSNs) are a kind of network that uses 
distributed sensors to collect and relay information about environmental conditions such as noise, 
vibration, temperature, and pressure. Countless sensor nodes are part of a Wireless Sensing Network's 
(WSN) infrastructure. The sensor nodes may send and receive radio alerts to communicate with one 
another. A wireless sensor node has the ability to collect and process data from nearby devices, as well 
as to transmit and receive data through radio transceivers and power sources. The nodes of the sensor 
units are battery-operated. Sensor nodes use more energy than typical nodes. The military and private 
sectors are only two of the many uses for mobile ad hoc networks (MANETs), which are built from a 
collection of autonomous, battery-operated nodes. However, security is a major challenge in MANET 
management since assaults on the network are always a possibility. In order to create a secure path in a 
MANET, a new article explains how to spot a breach. Reduced memory requirements are another 
advantage of the proposed cryptographic scheme.minimizes wait time, provides excellent security, and 
works well with low-power devices like cell nodes. The purpose of this assignment is to implement a 
genetically-based cryptographic protocol based on elliptical exerciser curves for the purpose of securing 
the location of wireless sensing units.