On the Performance of the Predicted Energy Efficient Bee-Inspired Routing (PEEBR)

Abstract

The Predictive Energy Efficient Bee Routing PEEBR is a swarm intelligent reactive routing algorithm inspired from the bees food search behavior. PEEBR aims to optimize path selection in the Mobile Ad-hoc Network MANET based on energy consumption prediction. It uses Artificial Bees Colony ABC Optimization model and two types of bee agents: The scout bee for exploration phase and the forager bee for evaluation and exploitation phases. PEEBR considers the predicted mobile nodes battery residual power and the expected energy consumption for packet reception and relaying of these nodes along each of the potential routing paths between a source and destination pair. In this research paper, the performance of the proposed and improved PEEBR algorithm is evaluated in terms of energy consumption efficiency and throughput compared to two state-of-art ad-hoc routing protocols: The Ad-hoc On-demand Distance Vector AODV and the Destination Sequenced Distance Vector DSDV for various MANET sizes.

Authors and Affiliations

Imane Fahmy, Laila Nassef, Hesham A. Hefny

Keywords

Related Articles

One-Lead Electrocardiogram for Biometric Authentication using Time Series Analysis and Support Vector Machine

In this research, a person identification system has been simulated using electrocardiogram (ECG) signals as biometrics. Ten adult people were participated as the subjects in this research taken from their signal ECG usi...

A Multilingual Datasets Repository of the Hadith Content

Knowledge extraction from unstructured data is a challenging research problem in research domain of Natural Language Processing (NLP). It requires complex NLP tasks like entity extraction and Information Extraction (IE),...

Identification and Formal Representation of Change Operations in LOINC Evolution

LOINC (Logical Observation Identifiers Names and Codes) is one of the standardized health ontologies that is widely used by practitioners in the health sector. Like other ontologies in health field, LOINC evolves. This r...

Intelligent System for the use of the Scientific Research Information System

As part of the digital governance of scientific research of Moroccan universities and national research institutions, the Ministry of Higher Education, Scientific Research and Executive Training has shown great interest...

Performance Comparison of Detection, Recognition and Tracking Rates of the different Algorithms

This article discusses the approach of human detection and tracking in a homogeneous domain using surveillance cameras. This is a vast area in which significant research has been taking place from more than a decade and...

Download PDF file
  • EP ID EP126408
  • DOI 10.14569/IJACSA.2014.050411
  • Views 79
  • Downloads 0

How To Cite

Imane Fahmy, Laila Nassef, Hesham A. Hefny (2014). On the Performance of the Predicted Energy Efficient Bee-Inspired Routing (PEEBR). International Journal of Advanced Computer Science & Applications, 5(4), 65-70. https://europub.co.uk/articles/-A-126408