New Detection Paradigms to Improve Wireless Sensor Network Performance under Jamming Attacks

Del-Valle-Soto, Carolina; Carlos Mex-Perera; Ivan Aldaya; Fernando Lezama; Juan Arturo Nolazco-Flores; Raul Monroy

doi:10.3390/s19112489

New Detection Paradigms to Improve Wireless Sensor Network Performance under Jamming Attacks

Journal

Sensors

ISSN

1424-8220

Date Issued

2019

Author(s)

Del-Valle-Soto, Carolina

Facultad de Ingeniería - CampGDL

Carlos Mex-Perera

Ivan Aldaya

Fernando Lezama

Juan Arturo Nolazco-Flores

Raul Monroy

Type

text::journal::journal article

DOI

10.3390/s19112489

URL

https://scripta.up.edu.mx/handle/20.500.12552/2883

Abstract

In this work, two new self-tuning collaborative-based mechanisms for jamming detection are proposed. These techniques are named (i) Connected Mechanism and (ii) Extended Mechanism. The first one detects jamming by comparing the performance parameters with respect to directly connected neighbors by interchanging packets with performance metric information, whereas the latter, jamming detection relays comparing defined zones of nodes related with a collector node, and using information of this collector detects a possible affected zone. The effectiveness of these techniques were tested in simulated environment of a quadrangular grid of 7 × 7, each node delivering 10 packets/sec, and defining as collector node, the one in the lower left corner of the grid. The jammer node is sending packets under reactive jamming. The mechanism was implemented and tested in AODV (Ad hoc On Demand Distance Vector), DSR (Dynamic Source Routing), and MPH (Multi-Parent Hierarchical), named AODV-M, DSR-M and MPH-M, respectively. Results reveal that the proposed techniques increase the accurate of the detected zone, reducing the detection of the affected zone up to 15% for AODV-M and DSR-M and up to 4% using the MPH-M protocol.