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

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Publication Details

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

Author list: Zungeru, Adamu

Publisher: Emerald

Publication year: 2013

Journal: International Journal of Pervasive Computing and Communications (1742-7371)

Volume number: 2

Issue number: 4

ISSN: 1742-7371

URL: https://www.researchgate.net/profile/Murtala_Adamu/publication/288993005_Performance_Evaluation_of_Energy-aware_Swarm_Intelligence_Based_Routing_Protocols_for_Wireless_Sensor_Networks_Based_on_Different_Radio_Models/links/56881c8d08ae1e63f1f73145.pdf

Languages: English-United States (EN-US)


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).


Keywords

Termite-hill, Beesensor, Energy Efficient Ant Based routing, Radio Model, RMASE, PROWLER, wireless sensor networks.


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Last updated on 2021-01-07 at 21:36