Abstract—It is well known that designing, testing and debug-ging sensor networks are extremely hard. It is mainly due to limited resources and distributed natures of sensor networks. In a lab environment, it is difficult and tedious to try various network configurations and simulate various challenging environment factors. Thereafter, the sensor network community has longed for a good sensor network simulation tool allowing the philosophy of WYSIWYG: What You See Is What You Get. In this paper, we present the design and evaluation of a visualized network manipulation tool integrated with TOSSIM and TOSSIM Live, called SimX. The SimX includes the following features: (1) topology manipulation, which allows a simple mouse drag on the virtual n...
In the domain of wireless sensor networks, simulation is the predominant way of evaluating new algor...
Deploying real WSN testbed provides a realistic testing environment, and allows users to get more a...
Many limitations (e.g. complexity, cost, scalability and capability) make the analytical methods and...
Simulation is an important measure to estimate different properties of a planned network such as thr...
Simulation is an important measure to estimate different properties of a planned network such as thr...
In this paper we describe a new simulation platform for complex wireless sensor networks that operat...
Abstract—Traditional simulators cannot meet the require-ment of modeling large scale networks due to...
The design of a wireless sensor network is a chal- lenging task due to its intrinsically application...
This paper provides a study of how to design and implement Wireless Sensor Network (WSN) in NS2 (Net...
Recent human effort has been directed at expanding pervasive smart environments. For this, ubiquitou...
International audienceWe present Worldsens, a complete environment for fast prototyping of wireless ...
This paper states an innovative proposal of a simulation/emulation tool for wireless sensor networks...
International audienceThis paper presents the first version of a Wireless Sensor Network design and ...
Although there is growing interest in the use of physical testbeds to evaluate the performance of ap...
Research on wireless sensor networks has progressed rapidly over the last decade, and these technolo...
In the domain of wireless sensor networks, simulation is the predominant way of evaluating new algor...
Deploying real WSN testbed provides a realistic testing environment, and allows users to get more a...
Many limitations (e.g. complexity, cost, scalability and capability) make the analytical methods and...
Simulation is an important measure to estimate different properties of a planned network such as thr...
Simulation is an important measure to estimate different properties of a planned network such as thr...
In this paper we describe a new simulation platform for complex wireless sensor networks that operat...
Abstract—Traditional simulators cannot meet the require-ment of modeling large scale networks due to...
The design of a wireless sensor network is a chal- lenging task due to its intrinsically application...
This paper provides a study of how to design and implement Wireless Sensor Network (WSN) in NS2 (Net...
Recent human effort has been directed at expanding pervasive smart environments. For this, ubiquitou...
International audienceWe present Worldsens, a complete environment for fast prototyping of wireless ...
This paper states an innovative proposal of a simulation/emulation tool for wireless sensor networks...
International audienceThis paper presents the first version of a Wireless Sensor Network design and ...
Although there is growing interest in the use of physical testbeds to evaluate the performance of ap...
Research on wireless sensor networks has progressed rapidly over the last decade, and these technolo...
In the domain of wireless sensor networks, simulation is the predominant way of evaluating new algor...
Deploying real WSN testbed provides a realistic testing environment, and allows users to get more a...
Many limitations (e.g. complexity, cost, scalability and capability) make the analytical methods and...