JOURNAL ARTICLE

Biologically Inspired Cooperative Routing for Wireless Mobile Sensor Networks

S. S. IyengarHsiao‐Chun WuN. BalakrishnanShih Yu Chang

Year: 2007 Journal:   IEEE Systems Journal Vol: 1 (1)Pages: 29-37   Publisher: Institute of Electrical and Electronics Engineers

Abstract

Biological systems present remarkable adaptation, reliability, and robustness in various environments, even under hostility. Most of them are controlled by the individuals in a distributed and self-organized way. These biological mechanisms provide useful resources for designing the dynamical and adaptive routing schemes of wireless mobile sensor networks, in which the individual nodes should ideally operate without central control. This paper investigates crucial biologically inspired mechanisms and the associated techniques for resolving routing in wireless sensor networks, including Ant-based and genetic approaches. Furthermore, the principal contributions of this paper are as follows. We present a mathematical theory of the biological computations in the context of sensor networks; we further present a generalized routing framework in sensor networks by diffusing different modes of biological computations using Ant-based and genetic approaches; finally, an overview of several emerging research directions are addressed within the new biologically computational framework. © 2007 IEEE

Keywords:
Computer science Wireless sensor network Robustness (evolution) Distributed computing Computer network Key distribution in wireless sensor networks Mobile wireless sensor network Wireless Routing Protocol Routing protocol Wireless Routing (electronic design automation) Wireless network Telecommunications Biology

Metrics

90
Cited By
2.28
FWCI (Field Weighted Citation Impact)
54
Refs
0.86
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
Metaheuristic Optimization Algorithms Research
Physical Sciences →  Computer Science →  Artificial Intelligence
Artificial Immune Systems Applications
Physical Sciences →  Engineering →  Biomedical Engineering

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