Improving Data Aggregation Performance in Wireless Sensor Networks using Software-Defined Networks

Marwa K. Hasan*

Electronic and Control Engineering Department, Technical Engineering College / Kirkuk (TECK), Northern Technical University (NTU), Kirkuk, Iraq

Email: marwa.khaleel@ntu.edu.iq

 

Abstract

 

In this paper, we present a novel methodology to improve the performance of collection operations in wireless sensor networks by the application of software-defined networking technology on (SD WISE) platform. The conditions for selecting the grouped nodes in the controller were determined by adjusting the weights of the (Dijekstra) algorithm. The grouped nodes that include the node were determined based on the paths chosen by the algorithm. The SDN-WISE platform supports reading the payload of the packet and not just the header, in addition to the possibility of dealing with a packet depending on another packet, and the flexibility to modify the routing tables to achieve the appropriate rules for the proposed aggregation algorithm. The results show a significant reduction in the energy consumed after applying the novel suggested algorithm.

 

Received: August 15, 2023 Revised: November 22, 2023 Accepted: April 01, 2024  

 

 

Keywords: Networks; Wireless sensor networks; Data aggregation, Software-defined networks.