With the popularization of Internet in China, as GPRS service improved increasingly, electric energy meter transmits the data information and controlling command remotely and wirelessly. Based on the current electric energy meter, with the well-functioned ARM kernel microprocessor, it not only finishes the power data's measuring and processing, but also realizes the TCP/IP by cutting. By ARM kernel microprocessor controlling GPRS module, electric energy meter could be linked to the Internet by use of GPRS service. The overall system is stable and reliable because it is managed by μC/OS-Ⅱ operating system. This is especially for some outlying areas where the Cable Network hasn't been popularized. It not only raises the efficiency of electric energy meter data information's acquisition and transition, but also the national measure management of electric energy improved greatly.
Resource optimization is a very important aspect in cognitive radio network (CRN). It is a typical multiobjective optimization problem. This paper proposes a mixed multi-objective immune cloning genetic algorithm (MMGA) to solve the optimization of resource allocation in CRNs. Based on the genetic algorithm of non-domination sort, the MMGA adds external memory immune operator and cloning operator to effectively improve the searching performance. To evaluate the performance of MMGA, we compare it to NSGA-II with three typical test functions. From the results, the MMGA can solve multi-objective optimization problems more effectively than the NSGA-II. Simultaneously, the MMGA is used to optimize the frequency bandwidths and bandwidth-footprint product in CRNs. The simulation results show that MMGA can effectively solve the optimization of resource allocation in CRNs.
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