Open AccessBio‐inspired energy and channel management in distributed wireless multi‐radio networks
Author(s) -
Olwal Thomas Otieno,
Masonta Moshe Timothy,
Mekura Fisseha
Publication year - 2014
Publication title -
iet science, measurement and technology
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.418
H-Index - 49
eISSN - 1751-8830
pISSN - 1751-8822
DOI - 10.1049/iet-smt.2013.0204
Subject(s) - computer science , radio resource management , wireless network , energy consumption , computer network , wireless , throughput , channel (broadcasting) , robustness (evolution) , distributed computing , telecommunications , engineering , electrical engineering , biochemistry , chemistry , gene
In the recent past, research in the next generation wireless heterogeneous broadband networks has favoured the design of multi‐radio interface over the single radio interface architectures to support desirable features such as a self‐organisation, self‐configuration, reliability and robustness of network operations in a resource‐constrained environment. However, such autonomous network behaviours have been seen to cause an inefficient consumption of energy and frequency channel resources, impacting negatively on the economy and environment. To address the inefficient energy and frequency channel utilisation problems, this study proposes a biological behaviour‐based network resource management method. The research is inspired by such a well‐established optimal foraging theory whereby a solitary biological forager in a random ecosystem makes optimal decisions that maximise its own nutrients consumption, survival probability and lifetime, whereas minimising possible risks associated with its own behaviour. This study has applied this natural principle and developed a Bio‐inspired Energy and Channel (BEACH) management method. The BEACH method is aimed at achieving both efficient communication energy and frequency channel utilisation in the considered distributed wireless multi‐radio network. The efficacy of the developed BEACH method has been extensively validated through computer simulations and shown to yield improved energy‐efficiency and throughput performance.