Performance Evaluation of Energy-aware Swarm Intelligence Based Routing Protocols for Wireless Sensor Networks Based on Different Radio Models
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Date
2013-12-13
Journal Title
Journal ISSN
Volume Title
Publisher
International Journal of Computing, Communications and Networking
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)
Description
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.
Keywords
Termite-hill, Beesensor, Energy Efficient Ant Based routing, Radio Model, RMASE, PROWLER, wireless sensor networks
Citation
Adamu 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.