Fuzzy Logic and Bio-Inspired Firefly Algorithm Based Routing Scheme in Intrabody Nanonetworks
| Autor: | Shumaila Javaid, Wei Li, Muhammad Kashif Khattak, Hamza Fahim, Mian Muhammad Sadiq Fareed, Gulnaz Ahmed |
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| Rok vydání: | 2019 |
| Předmět: |
Routing protocol
Computer science Distributed computing 02 engineering and technology Biosensing Techniques Biochemistry Fuzzy logic Article Analytical Chemistry Fuzzy Logic energy-efficient routing protocol 0202 electrical engineering electronic engineering information engineering Nanotechnology Firefly algorithm Electrical and Electronic Engineering Instrumentation Fitness function Network packet firefly algorithm 020206 networking & telecommunications Atomic and Molecular Physics and Optics Flooding (computer networking) electromagnetic communication in the terahertz band intrabody nanonetworks 020201 artificial intelligence & image processing Wireless Technology Algorithms |
| Zdroj: | Sensors (Basel, Switzerland) Sensors Volume 19 Issue 24 |
| ISSN: | 1424-8220 |
| Popis: | An intrabody nanonetwork (IBNN) is composed of nanoscale (NS) devices, implanted inside the human body for collecting diverse physiological information for diagnostic and treatment purposes. The unique constraints of these NS devices in terms of energy, storage and computational resources are the primary challenges in the effective designing of routing protocols in IBNNs. Our proposed work explicitly considers these limitations and introduces a novel energy-efficient routing scheme based on a fuzzy logic and bio-inspired firefly algorithm. Our proposed fuzzy logic-based correlation region selection and bio-inspired firefly algorithm based nano biosensors (NBSs) nomination jointly contribute to energy conservation by minimizing transmission of correlated spatial data. Our proposed fuzzy logic-based correlation region selection mechanism aims at selecting those correlated regions for data aggregation that are enriched in terms of energy and detected information. While, for the selection of NBSs, we proposed a new bio-inspired firefly algorithm fitness function. The fitness function considers the transmission history and residual energy of NBSs to avoid exhaustion of NBSs in transmitting invaluable information. We conduct extensive simulations using the Nano-SIM tool to validate the in-depth impact of our proposed scheme in saving energy resources, reducing end-to-end delay and improving packet delivery ratio. The detailed comparison of our proposed scheme with different scenarios and flooding scheme confirms the significance of the optimized selection of correlated regions and NBSs in improving network lifetime and packet delivery ratio while reducing the average end-to-end delay. |
| Databáze: | OpenAIRE |
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