Sleep scheduling method and system for energy acquisition sensor network

A sensor network and energy acquisition technology, applied in the field of sensor networks, can solve the problems of not considering the randomness of energy arrival, optimizing the use of energy, and not paying attention to node relationships

Active Publication Date: 2015-07-29
GUILIN UNIV OF ELECTRONIC TECH
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Problems solved by technology

[0004] Existing dormancy scheduling methods are mainly aimed at sensor networks without energy acquisition. Although these methods can effectively extend the network life cycle, they do not consider the randomne

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  • Sleep scheduling method and system for energy acquisition sensor network
  • Sleep scheduling method and system for energy acquisition sensor network
  • Sleep scheduling method and system for energy acquisition sensor network

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Embodiment Construction

[0011] 1. The energy harvesting sensor network is randomly deployed in an area, and a total of n energy harvesting sensor nodes are thrown. Since the arrival of energy is discontinuous and random, the time of energy arrival is also intermittent, so the amount of energy EH obtained by each node is recorded every other time period, and 24 hours are divided into m time periods. The predicted energy EH obtained for each node in each time period mn , has the following formula: EH mn =(1-θ)EH mn '+θEH' mn . EH mn Indicates the predicted value of energy gain at the current moment m, EH′ mn Indicates the measured value of energy gain at the last m time, EH mn 'Indicates the predicted value at the last m time, θ is the weight, 0<θ≤1.

[0012] 2. Divide 24 hours a day into m segments on average, and the matrix X can be obtained, as follows:

[0013]

[0014] where: x ij is the element in the matrix X of m×n, 1≤i≤m, 1≤j≤n, n is the total number of nodes in the sensor network,...

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Abstract

The invention discloses a sleep scheduling method and system for an energy acquisition sensor network. The sleep scheduling method comprises the following steps: predicting an energy acquisition amount at a corresponding moment of the next day according to historical data of energy acquired by each node in a network monitoring area, and establishing an energy value matrix X; dividing all energy acquisition sensor nodes into K K-means clusters in each time quantum according to the predicated energy acquisition amount; sequencing the K-means clustering nodes according to the ranges of the energy acquisition values from small to big, and preferentially awaking the K-means clustering node with the smallest clustering center value on the premises of set sleep scheduling period and coverage requirements. The sleep scheduling method and the sleep scheduling system have the capability of well utilizing the energy acquired from outside, especially adapting to a situation that energy of nodes in an energy acquisition sensor network is limited, and is particularly applicable to a sensor network for field monitoring.

Description

technical field [0001] The invention relates to the technical field of sensor networks, in particular to a sleep scheduling method and system for an energy harvesting sensor network. Background technique [0002] Energy harvesting technology is a hot spot in the field of wireless sensor network development in recent years. The energy that can be collected includes light energy and wind energy. Due to the interference of many factors, there are many uncertainties and instabilities in the energy harvesting process, and it is difficult to match the energy that the nodes need to use. At the same time, the amount of energy obtained is also limited, and it cannot fully guarantee that nodes can use the obtained energy indefinitely. Therefore, when designing various algorithms and applications, people still need to optimize the use of acquired energy, master the law of energy acquisition, rationally allocate acquired energy, and improve energy use efficiency. [0003] As an effect...

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Application Information

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IPC IPC(8): H04W52/02H04W84/18
CPCH04W52/0209H04W52/0216H04W52/0219H04W84/18Y02D30/70
Inventor 陈宏滨曾倩赵峰
Owner GUILIN UNIV OF ELECTRONIC TECH
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