The main aim of the project is to achieve "Wireless Sensor Networks, the parameter of the energy is very important, and researches try to optimize the consumption of the power, which is usually impossible to replace it. Sensors node have limited resource of the energy."
In this Project we describe our experience to implement a proposed algorithm of routing protocol based on Neural Networks (NNs), our approach focus on improving the clustering performances. The energy consumption is an important factor for the Wireless Sensors Networks (WSNs).
In our solution based on the Neural Networks tool and the routing protocol LEACH (Low-Energy Adaptive Clustering Hierarchy) we introduce the criterion of the consumed energy for the process of the election of the Cluster-Head (CH). The sensor node with the highest level of the energy is selected to be the Cluster-Head.
Keywords: Neural Networks; Wireless Sensors Networks; Back Propagation; Cluster Head; LEACH; Energy Consumption.
NOTE: Without the concern of our team, please don't submit to the college. This Abstract varies based on student requirements.
HARDWARE SPECIFICATIONS:
System: Pentium IV 2.4 GHz.
Hard Disk: 40 GB.
Floppy Drive: 1.44 Mb.
Monitor: 15 VGA Colour.
Mouse : Logitech.
Ram: 512 Mb.
SOFTWARE SPECIFICATIONS:
Operating system: Windows XP/7/LINUX.
Implementation: NS2
NS2 Version: NS2.2.34
Front End: OTCL (Object Oriented Tool Command Language)
Tool: Fedora (To simulate in Linux OS)