JOURNAL ARTICLE

M-IAR: Biologically Inspired Routing Protocol for Wireless Multimedia Sensor Networks

Abstract

In this paper, we propose multimedia-enabled improved adaptive routing (M-IAR) that is optimized for single-source-to- single-destination multimedia sensory data traffic. It is an extension of the improved adaptive routing (IAR) algorithm presented in our earlier work, in response to the increasing number of applications incorporating wireless multimedia sensors such as wireless microphones and cameras. M-IAR is a swarm-intelligent- based algorithm exploiting the concept of ant colony optimization to optimize end-to-end delay, jitter, latency, energy consumption, packet survival rate, and routing path, within the multimedia wireless sensor network. The presented algorithm is proven to satisfy its goals through a series of computer simulations.

Keywords:
Computer science Wireless sensor network Latency (audio) Computer network Network packet Jitter Routing protocol Wireless Routing Protocol Wireless Dynamic Source Routing Ant colony optimization algorithms Real-time computing Multimedia Algorithm Telecommunications

Metrics

31
Cited By
4.45
FWCI (Field Weighted Citation Impact)
23
Refs
0.96
Citation Normalized Percentile
Is in top 1%
Is in top 10%

Citation History

Topics

Energy Efficient Wireless Sensor Networks
Physical Sciences →  Computer Science →  Computer Networks and Communications
Mobile Ad Hoc Networks
Physical Sciences →  Computer Science →  Computer Networks and Communications
Advanced MIMO Systems Optimization
Physical Sciences →  Engineering →  Electrical and Electronic Engineering

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