Disens: scalable distributed sensor network simulation
Proceedings of the 12th ACM SIGPLAN symposium on Principles and practice of parallel programming
Simulation-based augmented reality for sensor network development
Proceedings of the 5th international conference on Embedded networked sensor systems
An energy-aware co-simulation framework for the design of wireless sensor networks
Proceedings of the 18th ACM Great Lakes symposium on VLSI
Scalable versus Accurate Physical Layer Modeling in Wireless Network Simulations
Proceedings of the 22nd Workshop on Principles of Advanced and Distributed Simulation
Energy efficient radio range allocation in ad hoc wireless sensor networks
SpringSim '07 Proceedings of the 2007 spring simulaiton multiconference - Volume 1
Balancing intrusion detection resources in ubiquitous computing networks
Computer Communications
Proceedings of the 11th international symposium on Modeling, analysis and simulation of wireless and mobile systems
AnyBody: a self-organization protocol for body area networks
Proceedings of the ICST 2nd international conference on Body area networks
Distributed global ID assignment for wireless sensor networks
Ad Hoc Networks
Validation of WSN simulators through a comparison with a real testbed
Proceedings of the 7th ACM workshop on Performance evaluation of wireless ad hoc, sensor, and ubiquitous networks
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We present a sensor network simulation environment that allows users to evaluate the effects of different architectural choices and strategies on the lifetime and performance of a sensor network. Our tool can also be used to evaluate new approaches (routing protocols, cooperation algorithms), and compare them with the ones already in place. This simulator is an extension of the Georgia Tech Network Simulator (GTNetS) and leverages its design choices for maximum performance. It incorporates models for the different functional units composing a sensor node and characterizes the energy consumption of each. It also has a model for a network base station and its interactions with the rest of the network. We report our results from a set of tests that demonstrate some of the capabilities of our simulator. In particular, we were able to simulate sensor networks of several hundred thousand nodes while using less than 2 GB of memory, which exceeds the capabilities of existing simulators by an order of magnitude. The simulator is also used to study the performance of an algorithm that assigns globally unique IDs to nodes in a sensor network.