Performance Evaluation of Energy-aware Swarm Intelligence Based Routing Protocols for Wireless Sensor Networks Based on Different Radio Models

dc.contributor.authorAdamu Murtala Zungeru
dc.contributor.authorEnesi Asizehi Yahaya
dc.contributor.authorCaroline Omoanatse Alenoghena
dc.date.accessioned2025-05-09T08:37:16Z
dc.date.issued2013-12-13
dc.descriptionIn 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.
dc.description.abstractA 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)
dc.identifier.citationAdamu Murtala, Z., Enesi Asizehi, Y., & Caroline Omoanatse, A. (2013). Performance Evaluation of Energy-aware Swarm Intelligence Based Routing Protocols for Wireless Sensor Networks Based on Different Radio Models.
dc.identifier.issnISSN 2319-2720
dc.identifier.urihttp://repository.futminna.edu.ng:4000/handle/123456789/1942
dc.language.isoen
dc.publisherInternational Journal of Computing, Communications and Networking
dc.subjectTermite-hill
dc.subjectBeesensor
dc.subjectEnergy Efficient Ant Based routing
dc.subjectRadio Model
dc.subjectRMASE
dc.subjectPROWLER
dc.subjectwireless sensor networks
dc.titlePerformance Evaluation of Energy-aware Swarm Intelligence Based Routing Protocols for Wireless Sensor Networks Based on Different Radio Models
dc.typeArticle

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