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Wireless Sensor Network as an important technology of Internet of things' development, is more and more widely used in various research fields. This paper mainly researches the part of localization application based on wireless sensor network, focuses on DV-Hop localization algorithm, and gives its algorithm simulation and analysis of the simulation results. Also this paper improves the algorithm...
Target detection is a key application that wireless sensor networks (WSN) support. In order to obtain accurate target detection it is necessary to know the position of all nodes in the network. Therefore positioning algorithms are necessary. This paper aims at evaluating the Maximum Likelihood Estimation algorithm for wireless sensor networks by means of simulation.
The K-connected deployment and power assignment problem (DPAP) in WSNs aims at deciding both the sensor locations and transmit power levels, for maximizing both the network coverage and lifetime under K-connectivity constraints, in a single run. It is shown that the multi-objective evolutionary algorithm based on decomposition (MOEA/D) is a strong enough tool for dealing with unconstraint real life...
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