JOURNAL ARTICLE

Biologically Inspired Approaches for Wireless Sensor Networks

Abstract

Biological systems present a remarkable adaptation, reliability and robustness in the dynamic and even hostile environments. Also, the networks that govern the flow of resources and information are ubiquitous in nature. Most of them are performed by individuals in a distributed and self-organized way. These mechanisms provide useful paradigms for designing the wireless sensor networks, where the individual nodes operate without central control. This paper investigates the existing sensor network design paradigms that inspired from the biological system. The investigation ranges from cell level mechanisms to collective activities performed by social insects, in an effort to apply these inspirations to the sensor networks. This paper involves the problems in the design of wireless sensor networks, including routing, congestion control, medium access control, and clustering problem

Keywords:
Wireless sensor network Computer science Robustness (evolution) Key distribution in wireless sensor networks Distributed computing Computer network Mobile wireless sensor network Reliability (semiconductor) Cluster analysis Wireless Wireless network Artificial intelligence Telecommunications

Metrics

39
Cited By
0.46
FWCI (Field Weighted Citation Impact)
39
Refs
0.60
Citation Normalized Percentile
Is in top 1%
Is in top 10%

Citation History

Topics

Gene Regulatory Network Analysis
Life Sciences →  Biochemistry, Genetics and Molecular Biology →  Molecular Biology
Artificial Immune Systems Applications
Physical Sciences →  Engineering →  Biomedical Engineering
Molecular Communication and Nanonetworks
Physical Sciences →  Engineering →  Biomedical Engineering

Related Documents

DISSERTATION

Biologically inspired algorithms for wireless sensor networks

Anna ScaglioneRoberto Pagliari

University:   Optics Express Year: 2010 Vol: 26 (23)Pages: 30773-30785
JOURNAL ARTICLE

Biologically inspired node scheduling control for wireless sensor networks

Heejung ByunSugook SonSoomi Yang

Journal:   Journal of Communications and Networks Year: 2015 Vol: 17 (5)Pages: 506-516
JOURNAL ARTICLE

A biologically inspired networking model for wireless sensor networks

Charalambos D. CharalambousShuguang Cui

Journal:   IEEE Network Year: 2010 Vol: 24 (3)Pages: 6-13
© 2026 ScienceGate Book Chapters — All rights reserved.