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An accurate, scalable, and energy-aware simulator for WSNs
STEAM-Sim establishes a hardware/software/network co-simulation of wirelesssensornetworks.
Original C code is used in simulation. The code is natively executed by the cpu
where the simulation is run. The time annotation engine annotates the C source
code used for simulation with the timing information as if the code is run on a
microcontroller. The annotation process is fully automated.
Hardware models are developed using the PAWiS framework and reflect the timing,
functionality, and energy-consumption of real-world hardware such as a CC2420
radio transceiver.
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Positioning Algorithms for Mobile Ad Hoc Networks.
The DV-Hop, Amorphous, Centroid and APIT source code for NS2.
Please reference this work as follows:
A. Pineda-Briseño, R. Menchaca-Mendez, E. Chavez, G. Guzman, R. Menchaca-Mendez, R. Quintero, M. Torres, M. Moreno, and J. L. Diaz-De-Leon. "A Probabilistic Approach to Location Estimation in MANETs." Ad Hoc & SensorWirelessNetworks, vol. 28, no. 1-2, pp. 97-114, 2015.
An enhanced stable election protocol for wireless sensor network
While wirelesssensornetworks are increasingly equipped to handle more complex functions, in-network processing may require these battery powered sensors to judiciously use their constrained energy to prolong the effective network life time especially in a heterogeneous settings. Clustered techniques have since been employed to optimize energy consumption in this energy constrained wirelesssensornetworks.
Cloud based software to store and present data from one or more eKo Pro wireless sensor networks. Perl scripts, which connect to eKo Pro gateways, parse the XML packet streams, store and graph the extracted sensor data.
TACS (Trust Ant Colony System) is a Trust model for P2P, Ad-hoc and WirelessSensornetworks (also valid for multi-agent systems) based on the bio-inspired algorithm ACS (Ant Colony System).
Simulation of a routing protocol for Wireless Sensor Networks(WSN)
The WSN simulator is network simulator specifically designed for wirelesssensornetworks simulations. It is specifically designed for my own research works. The results may or may not be accurate as other widely renown simulation tools like ns2, netsim, opnet, etc. It uses a multithreaded approach of running events of a network. It was the best solution that I thought which could also help in easily producing randomness in the event scheduling.
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Logical Neighborhoods is a a high-level programming abstraction for wireless sensor networks that simplifies the development of fully distributed, embedded networked applications.