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A Middleware Services Simulation Platform forWireless Sensor Networks
A Middleware Services Simulation Platform for Wireless Sensor Networks
Hock Beng Lim, Bang Wang, Cheng Fu, Arpan Phull, Di Ma
Intelligent Systems Centre
Nanyang Technological University
limhb@.sg
Abstract
In the recent years, wireless sensor networks have at-
tracted a lot of attention due to their broad application ar-
eas. In many application scenarios, hundreds or thousands
of sensor nodes may be deployed in the physical environ-
ment. To design, implement, manage and maintain such
large-scale networks efficiently is a major challenge which
requires an integrated middleware development approach.
In this paper, we focus on the development of a simulation
platform specifically designed to support the development
of sensor network middleware services. This novel platform
is designed in a modular manner to facilitate the rapid inte-
gration and testing of different middleware algorithms and
services. We present the simulator’s software architecture
and its operation. A case study to illustrate the usage of our
simulation platform is also presented. The simulation plat-
form shows potentials to support the research and develop-
ment of middleware services for wireless sensor networks.
1 Introduction
With the rapid advances in wireless communication tech-
nologies, embedded processors, and MEMS sensor devices,
more and more powerful wireless sensor network platforms
are now available in the market. Nowadays, it is possi-
ble to build large-scale wireless sensor networks (WSNs)
that consist of hundreds or thousands of tiny sensor nodes.
There is a broad spectrum of important applications of
WSNs such as surveillance, environmental monitoring, and
healthcare monitoring [1].
The increased scaling of WSN applications bring chal-
lenges to the design of network protocol and management.
In many application scenarios, it is necessary to deploy and
control hundreds of sensor nodes to collaboratively exe-
cute scheduled tasks such as to sense the physical world,
to process the
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