Wireless sensor network resource allocation method based on improved simulated annealing

Abstract

The invention discloses a wireless sensor network resource allocation method based on improved simulated annealing. The method comprises the steps of considering the characteristics of limited energyand real-time performance of sensor nodes, adding a time function into a perception degree matrix of a target function, and ensuring the fairness of a user by utilizing a weighting factor; and givinga sensing node detection target number constraint, so that the node sensing deviation is reduced, and constructing a resource allocation optimization model. Aiming at the characteristic that simulatedannealing optimization has cognitive insufficiency on an overall solution space, Logistic chaotic search is embedded into the simulated annealing optimization, and an effective resource allocation method based on improved simulated annealing is provided in combination with the rapid optimization capability of simulated annealing. Compared with similar methods, the method has the advantages that the target detection success rate is higher under the condition of different sensing numbers, the fairness of the user is ensured by the weight, the optimization time and the network power consumptionare effectively reduced, and the overall performance of the system is improved.

Description

technical field [0001] The invention relates to a network resource allocation method, in particular to a wireless sensor network resource allocation method based on improved simulated annealing, which belongs to the field of communication technology. Background technique [0002] Wireless Sensor Network (WSN) integrates the logical information world and the objective physical world, and is changing the way humans interact with nature. As a new mode of communication, it has promoted the development of science and technology and social progress, and has become one of the focuses of international technology competition. It has broad applications in various key basic fields of national defense and national economy [1-2]. As an independent computing and control unit, a WSN node can realize its own data management, and cooperate with other nodes to complete efficient data transmission, analysis and processing of its network characteristics and network topology, node own characteri...

AI Technical Summary

Problems solved by technology

If the number of sensing task targets on the node exceeds a certain limit, the energy of the sensor will be excessively consumed, thereby reducing the survival time of the node; in the actual wireless sensor network, the sensor nodes are not evenly deployed and distributed, and the average allocation of resources may lead to large errors and make unknown Node location accuracy drops

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