Balancing optimizing strategy for energy consumption of coverage of wireless sensor network

Abstract

In a wireless sensor network, the coverage degree of a target area and the energy consumption of the network are important indexes for measuring the property of the wireless sensor network. The reasonable arrangement of nodes is in favor of ensuring the network coverage and balancing the energy consumption of the network. Specific to the wireless sensor network with an adjustable node sensing distance, the invention provides a balancing optimizing strategy for the energy consumption of the coverage of the wireless sensor network. According to the strategy, meeting a certain coverage quality of network area is taken as a condition, the balancing of the energy consumption of the coverage is taken as an optimizing target, and a particle swarm optimization is adopted for firstly dynamically optimizing the layout of the nodes in the network and then accordingly and reasonably adjusting the node sensing distance, thereby causing the property of the energy consumption of the coverage of the network to be optimal. A simulated result shows that compared with a traditional energy-saving coverage scheme, the strategy has the advantages that the sensing overlapping area and the sensing blind area are effectively reduced, the coverage quality of network area is increased and the energy consumption of the network is reduced.

Description

technical field [0001] The technical field of the energy management method of the wireless sensor network system, especially the energy management technology of the mobile node. Background technique [0002] In wireless sensor networks, coverage and energy consumption are a set of contradictions, that is, as the coverage level increases, energy consumption also increases. To study how to reduce the total energy consumption of the network while meeting the regional coverage requirements, that is, to study the balance of coverage energy consumption Optimization matters. [0003] The commonly used coverage energy balance optimization methods are: redundant deployment of nodes, according to the real-time status of the target, the energy-saving coverage scheme that makes the nodes rotate "active" and "sleeping", which is at the cost of investing a large number of redundant nodes; Dynamic layout optimization is performed on the location. If there are still many perception overlap...

AI Technical Summary

Problems solved by technology

[0003] The commonly used coverage energy balance optimization methods are: redundant deployment of nodes, according to the real-time status of the target, the energy-saving coverage scheme that makes the nodes rotate "active" and "sleeping", which is at the cost of investing a large number of redundant nodes; Dynamic layout optimization is performed on the location. If there are still many perception overlapping areas after the node location is adjusted, unnecessary energy consumption will still be generated; Uneven, will reduce the energy-saving coverage effect

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