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Research On Genetic - Ant Colony Hybrid Routing Algorithm For Power Wireless Meter Reading System

Posted on:2017-02-15Degree:MasterType:Thesis
Country:ChinaCandidate:C M HongFull Text:PDF
GTID:2132330488465634Subject:Communication and Information System
Abstract/Summary:PDF Full Text Request
It is essential for the network transmission distance power wireless meter reading system and the factors of affecting the obstacles to the wireless network, etc. and gradually solve the electric power wireless meter reading system for the construction of robust, reliable, low-cost. WSN technology is the key technologies for power wireless meter reading system in information collection and it is a new communication way to solve data communication disorder problems in the power system especially rural network measurement points, wide geographical distribution, complex geographic. Users of electricity data can be timely and accurate data uploaded to the server to ensure reliable power supply of the user through the study of WSN routing algorithms.Based on the above background, a genetic-colony algorithm of hybrid routing ant is proposed to provide better network quality of service in terms of network performance for common routing optimization algorithm which exist the problems of slow convergence, easy to fall into local optimal solution and other problems. Article contents are as follows:(1) Based on WSN and traditional routing protocol research, obtain that WSN routing design must reduce energy consumption as the goal and thereby selecting clustering routing protocol as a basis for routing.(2) Research on hybrid of genetic algorithm and ant colony algorithm. Focus on genetic algorithm and ant colony algorithm, make simulation comparison of fitness function for genetic algorithm and ant colony algorithm, presented WSN routing algorithm based on genetic-ant colony hybrid. In GA section make cross and mutative mixed strategy, obtained GA better solutions as initial pheromone of ant colony algorithm and in ant colony algorithm part selected its arguments and proposed enhanced cluster ant colony routing algorithm to find the global optimal solution of hybrid routing. Through testing the genetic-ant colony hybrid routing algorithm to verify the feasibility of the algorithm.(3) Improve the quality of service and network performance. The hybrid routing algorithm used in power wireless meter reading system and reference the other optimization algorithms to meet network quality needs of service in the realization of energy-efficient premise. By mixing the routing algorithm to avoid network congestion and save energy consumption, and ensure data transmission quality of power meter reading system.
Keywords/Search Tags:Wireless sensor network (WSN), Power wireless meter reading system, Genetic algorithm, Ant colony algorithm, Quality of network service (QoS), Hybrid routing algorithm
PDF Full Text Request
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