Power-adjustable zonal sensor network topology control method

Abstract

The invention relates to the novel technical field of a wireless sensor and actuator network, in particular to a power-adjustable zonal sensor network topology control method. The method is characterized by sequentially comprising the following steps: 1) an information collecting stage: a sensor sink center node which is arranged in a zonal region initiates a collecting command to a plurality of sensor network nodes which are arranged in the zonal region from the near to the distant, and the sensor nodes obtain an information channel quality parameter which is communicated with a plurality of neighbor nodes to obtain an initial topology connection diagram; 2) a topology optimizing stage: each sensor network node computes the connection priority with each neighbor node in a distributing way to obtain a topology optimizing parameter and confirm an optimization route of the nodes for transmitting a data packet; and 3) a transmitting power control stage: each node controls the powder from the near to the distant at the beginning of the sink node according to the topology optimizing parameter obtained in the topology optimizing stage, so that the interference among the communication is reduced, and the energy consumption is reduced.

Description

technical field [0001] The invention relates to the new technology field of wireless sensor and actuator network, in particular to a power-adjustable strip sensor network topology control method. Background technique [0002] Wireless sensor network is an emerging technology in recent years. The earliest research comes from the United States. It is composed of a large number of sensor nodes. The nodes collect data through various sensors of their own, and transmit information to the destination through wireless communication. A smart wireless network that accomplishes a goal. [0003] Wireless sensor network is a special Ad Hoc network. When it is applied to areas where wiring and power supply are difficult and areas where personnel cannot reach, the workload of replacing batteries for a large number of nodes is heavy, and sometimes it is impossible to complete due to environmental constraints. In this case, how to save the energy cost of nodes and effectively utilize node ...

AI Technical Summary

Problems solved by technology

For example, the COMPOW algorithm uses a common transmission power throughout the network, which will obviously lead to excessive energy consumption of some nodes in the strip network; the LMA algorithm requires too many preset coefficients, and these coefficients will have a great impact on the performance of the algorithm. , unable to better balance various topological characteristics that affect the network life cycle; the LMST algorithm does not consider whether the energy of the opposite end of the link is relatively sufficient in the topology generation process, and cannot meet the requirements of balanced energy consumption; the CBTC algorithm does not take low-energy nodes. Protection strategy, ignoring the imbalance of energy consumption of nodes in routing

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