Abstract. The existing information collection system is a heterogeneous communication system which includes WSN (wireless sensor network) and wired network. In a heterogeneous information collection system, the survival time of nodes is very important for the stability of the network. How to reduce unnecessary energy consumption and make energy consumption more balanced requires special consideration. In this paper, we firstly explore the necessity of using clustering algorithms, and then analysis the existing heterogeneous wireless sensor network clustering algorithms, finally modify the existing DEEC (distributed energy-efficient clustering algorithm). The modifications of DEEC algorithm aims at the unstable performance. Simulation results show that the MDEEC (modified DEEC) has a greater network lifetime than DEEC.
In modern society, with the rapid development of economy and service quality, electric energy has become one of the necessary energy sources for people's production and life. The emergence of problems, such as such as distribution network, metering, meter reading, information and so on, have seriously blocked the development of power consumption management. In the construction of power consumption information collection system, the introduction of intelligent optimization concept has brought about new innovations in management and brought new opportunities. This paper is mainly to build an operation monitoring system of power consumption information collection group based on the intelligent optimization algorithm for the monitor, and the case analysis is carried out to prove the effectiveness of the optimization algorithm.
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