GloMoSim: a library for parallel simulation of large-scale wireless networks
PADS '98 Proceedings of the twelfth workshop on Parallel and distributed simulation
The Cricket location-support system
MobiCom '00 Proceedings of the 6th annual international conference on Mobile computing and networking
Effects of wireless physical layer modeling in mobile ad hoc networks
MobiHoc '01 Proceedings of the 2nd ACM international symposium on Mobile ad hoc networking & computing
Centralized channel assignment and routing algorithms for multi-channel wireless mesh networks
ACM SIGMOBILE Mobile Computing and Communications Review
An integrated experimental environment for distributed systems and networks
OSDI '02 Proceedings of the 5th symposium on Operating systems design and implementationCopyright restrictions prevent ACM from being able to make the PDFs for this conference available for downloading
MiNT-m: an autonomous mobile wireless experimentation platform
Proceedings of the 4th international conference on Mobile systems, applications and services
A software architecture for physical layer wireless network emulation
WiNTECH '06 Proceedings of the 1st international workshop on Wireless network testbeds, experimental evaluation & characterization
Personal and Ubiquitous Computing - Special Issue: Selected Papers of the ARCS06 Conference
Design considerations for a multihop wireless network testbed
IEEE Communications Magazine
The optimal k-covering tag deployment for RFID-based localization
Journal of Network and Computer Applications
Experiences using a miniature vehicular network testbed
Proceedings of the ninth ACM international workshop on Vehicular inter-networking, systems, and applications
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A significant challenge in the development of robust wireless networking protocols is often the need to prototype and test these protocols in a small-scale setting before they can be widely deployed. Two contrasting prototyping and testing methods are currently used, requiring a choice between convenience and accuracy. The first involves simulating a wireless network solely in software. Although convenient, this option fails to accurately account for real-world factors such as realistic radio propagation models and their interaction with node mobility and obstacles. The second relies on setting up a large-scale physical testbed that, although accurate, represents a single design point and tends to be expensive to reconfigure and manage. The MiNT project at Stony Brook University was one of the first to propose an accurate and inexpensive small-scale physical testbed built using commercially-available robots coupled with a version of NS2 built to work cooperatively on multiple nodes. MiNT combines the best features of the two popular performance evaluation methods, achieving network accuracy comparable to that of large-scale physical testbeds without abandoning the convenience and flexibility of software simulation. In this paper, we describe our initial experiences in developing MiNT-2, the next generation of MiNT. MiNT-2 represents a fresh redesign of MiNT that at once simplifies and improves the original design, and extends it with a range of new features. The paper describes a number of these improvements including a new, simplified, node design, an improved node localization using RFIDs, node position calibration, and automated layout configuration. We also demonstrate the accuracy of the new localization approach and outline planned testbed improvements.