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 Distributed Algorithm In Wireless Sensor Networks 

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it is used for genetic algorithm implementation for scheduling in wireless sensor networks



A feedback-enhanced framework for routing in wireless sensor networks. Speeds up the process of implementing routing techniques. Enables piggybacking of routing information on data packets. Written for the Omnet++ simulator and the Mobility...



Logical Neighborhoods is a a high-level programming abstraction for wireless sensor networks that simplifies the development of fully distributed, embedded networked applications.



SENSIX is middleware that bridges wireless sensor networks and distributed object-oriented software such as CORBA.



Wireless sensor networks offer an entire new field open for research and development. These types of networks conceptually offer many exciting features including scalability, self-configuration, self-healing, multicast routing, and easy...



Recent advances in Micro Electro Mechanical Systems (MEMS) technology, wireless communications, and digital electronics have enabled the development of low cost, low power, multifunctional sensor nodes that are small in size and communicate...



The attached model implements a Sobel edge detection algorithm in Embedded MATLAB.

This demo shows how to read in an image operate on the serialized data and reconstruct the image back from serialized data after applying Sobel...



SharedObjects is a middleware for development of distributed applications in a simple, painless way. It doesn't perform remote method calls, but replicates the object in the client machine. Supports distributed transactions and dynamic class...



Simplistic implementation of the Paper 'A Simple and Robust Vertical Handoff algorithm for Heterogenous Wireless Mobile Networks' by Daojing He, Caixia Chi, Sammy Chan, Chun Chen, Jiajun Bu, Mingjian Yin.



Framework to simplify developing applications that use wireless body sensor networks (bodynets). Manages sensor sampling, data buffering, local processing and communication. Supports embedded devices running TinyOS and any Java-capable gateway.



SpeedyGA is a vectorized implementation of a genetic algorithm in the Matlab programming language. Without bells and whistles, it faithfully implements the specification for a Simple GA given on pgs 10, 11 of M. Mitchell's GA book. See comments in...



RMMSeg is an implementation of MMSeg algorithm in Ruby. MMSeg is a Chinese segmentation algorithm based on two variants of maximum matching. RMMSeg can be used as a stand alone program or as an Analyzer of Ferret.



An implementation of the token bucket algorithm in Python.



This is an implementation of the binary search algorithm in (almost) one line. Given a number 'n' and a list 'L', the function returns the index of the number on the list, or -1.



JBossTS is a pure Java multi-modal transaction service that supports distributed transactions in CORBA, J2EE and Web services environments.

The JBoss Transaction Service (JBossTS) protects businesses from data corruption by guaranteeing...



There are 2 implementations of RANdom SAmple Consensus algorithm in the file, one for 2D line fitting only, the other for general purposes(fitting dataA with data B). Example (Finding a homography between 2 images) is provided and the comments are...



solves the linear least squares problem with nonnegative variables using the block principal pivoting algorithm in:
Portugal, Judice and Vicente, A comparison of block pivoting and interior point algorithms for linear least squares problems...



Solves the linear least squares problem with nonnegative variables using the newton's algorithm in:
Portugal, Judice and Vicente, A comparison of block pivoting and interior point algorithms for linear least squares problems with nonnegative...



Solves the linear least squares problem with nonnegative variables using the predictor-corrector algorithm in:
Portugal, Judice and Vicente, A comparison of block pivoting and interior point algorithms for linear least squares problems with...



Kruskal's algorithm is an algorithm in graph theory that finds a minimum spanning tree for a connected un directed weighted graph

The zip file contains

kruskal.m iscycle.m fysalida.m connected.m

If we want to find...