Mobile Wireless Sensor Network Lifetime Amplification by Utilizing Evolutionary Computing Methods

  • Parvinder, Sonia Boora , Pranav Prakash Singh

Abstract

Because of the nonstop advancement and progress of remote correspondence innovation and sensor net-work innovation, remote sensor systems (WSNs) have step by step become an appealing innovation that encourages individuals' lives. Among the significant difficulties in the improvement of WSNs, an essential one is customizing reflections for creating sensor programming at various levels, running from drivers and working frameworks, to organize conventions, middleware administrations, and applications. Though the initial two levels are described by close coupling between programming code and equipment modules, the other upper layers are thought to be customized in some elevated level programming models which might be unique in relation to those utilized for the main gathering. There have been a few ways to deal with either address programming at a specific sensor programming level, or give a conventional model that can be misused to create both low-level and significant level programming functionalities. A crucial test in creating programming deliberations for WSNs is the cautious thought of intrinsic requirements in such stages.

Published
2020-05-01
How to Cite
Parvinder, Sonia Boora , Pranav Prakash Singh. (2020). Mobile Wireless Sensor Network Lifetime Amplification by Utilizing Evolutionary Computing Methods. International Journal of Advanced Science and Technology, 29(9s), 239 - 247. Retrieved from https://sersc.org/journals/index.php/IJAST/article/view/13031