An Investigation and Performance Analysis of Routing with Fork-Join Optimization for IOT enabled Software Defined Networks

Authors

  • K Lalitha, M Yuvaraj, A Vigneshwaran, K Siva

Abstract

In the era of IoT, the Software-Defined Networks play a vital part. In these networks, many Sensors were placed in hostile areas. Since the capabilities of the sensors has its own limits when it comes to computational and energy efficiency. It is hard to replace them once they run out of battery. So there is an obvious need to develop an energy-efficient and software-defined routing system that enables us to handle wireless sensor networks with ease regardless of their complexity and increasing their lifespan. Even though the existing methods are widely adopted they have their own set of problems that need to be eliminated by implementing a set of techniques that optimizes the flow of data between two nodes which makes the network efficient. This paper recommends integration of FJAPSO along with Aggregation in the existing Software-Defined Networks. The EFJAPSO uses dual optimization techniques towards the optimal number of control nodes while clustering them as well. The data aggregation methods are used to satisfy the defined specifications of software-defined wireless sensor networks such as RSSI, TTL, Bandwidth, Power Consumption (i.e) battery consumption, MRIC, etc. These given factors determine the list of nodes to be placed inside a cluster. So the implementation of these methods will be more efficient in terms of operational and computational efficiency.

Downloads

Published

2020-05-18

Issue

Section

Articles