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Title: | Performance Evaluation of Energy-aware Swarm Intelligence Based Routing Protocols for Wireless Sensor Networks Based on Different Radio Models |
Authors: | Adamu Murtala, Zungeru Enesi Asizehi, Yahaya Caroline Omoanatse, Alenoghena |
Keywords: | : Termite-hill Beesensor Energy Efficient Ant Based routing Radio Model RMASE PROWLER wireless sensor networks |
Issue Date: | Oct-2013 |
Publisher: | International Journal of Computing, Communications and Networking |
Citation: | 11. A. M. Zungeru, E. A. Yahaya, and C. O. Alenoghena. (2013).Performance Evaluation of Energy-aware Swarm Intelligence Based Routing Protocols for Wireless Sensor Networks Based on Different Radio Models International Journal of Computing, Communications and Networking, Volume 2, No.4, pp. 128-133 ISSN 2319-2720 http://www.warse.org/IJCCN/static/pdf/file/ijccn08242013.pdf |
Abstract: | A routing protocol is the nervous system of any computer network. In a network where hundreds or thousands of nodes are working simultaneously, the job of a routing protocol is to identify/discover one or more path connecting a pair of nodes under a given set of constraints. The prime requirement for a routing protocol is to optimize the network performance. On the other hand, ad hoc networks form a distinct category of networks whereby nodes are wirelessly connected to each other and may be in constant random motion. However, in ad hoc networks like sensor networks, the performance differs with different radio models. This paper present simulation results of the comparative investigation of the performance of swarm based routing protocols for wireless sensor networks (WSNs) based on different radio models using routing modeling application simulation environment (RMASE), an application built on a probabilistic wireless network simulator (PROWLER). Our simulation results indicate that the energy aware routing objectives of Termite-hill, Sensor driven and cost-aware ant routing (SC) and Improved Energy Efficient Ant Based routing (IEEABR) protocols increases the network lifetime for Normal Radio Model (NRM), Radio Model with Signal-to-Interference-plus-Noise Ratio (RMSINR) and Radio Model with Rayleigh Fading (RMRYF).. |
URI: | http://repository.futminna.edu.ng:8080/jspui/handle/123456789/10510 |
ISSN: | 2319-2720 |
Appears in Collections: | Telecommunication Engineering |
Files in This Item:
File | Description | Size | Format | |
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Inter J 11 Performance Evaluation of Energy-aware Swarm Intelligence Based Routing Protocols for.pdf | 318.34 kB | Adobe PDF | View/Open |
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