Greedy energy source minimization arrangement method of RF (Radio Frequency)-energy harvesting wireless sensor network

Abstract

The invention discloses a greedy energy source minimization arrangement method of an RF (Radio Frequency)-energy harvesting wireless sensor network. From an initial state that the wireless sensor network is not provided with an RF-energy source, the following two parts of operation are repeatedly executed: increasing and deploying a new energy source, and improving the position of the energy source. The newly added energy source is put on a position which effectively improves node energy capture power. The operation of improving the energy source position is to iteratively improve the position of the traditional existing energy source to obtain the optimal deployment of the existing energy source. After the operation of improving the energy source position is finished, the energy capture power of each node is calculated, the phenomenon that the energy capture powers of all nodes meet demands means that the arrangement of the current energy source meets demands, and the arrangement method is finished. The greedy energy source minimization arrangement method of the RF-energy harvesting wireless sensor network can be effectively suitable for a situation that node energy capture power demands in a network are different, and is low in cost.

Description

technical field [0001] The invention relates to a greedy energy source quantity minimization arrangement method of a wireless sensor network, and the method is suitable for a wireless sensor network in which sensor nodes can capture radio frequency energy. Background technique [0002] Sensor nodes integrated with energy harvesting modules have the function of harvesting energy from the environment. This new type of sensor node can absorb certain energy from nature while working, such as solar energy, wind energy, vibration energy, etc., thus overcoming the energy constraints of traditional battery-powered sensor nodes. [0003] Due to the widespread existence of electromagnetic waves, one of the most promising environmental energy sources is radio frequency energy. Sensor nodes with the function of harvesting radio frequency energy convert radio frequency energy into electrical energy to power the nodes, and they are connected to each other through wireless communication t...

AI Technical Summary

Problems solved by technology

[0005] In order to overcome the disadvantage that the existing energy source arrangement method cannot be applied to the different energy capture power requirements of the nodes in the network, the present invention provides a low-cost radio frequency energy that is effectively applicable to the different energy capture power requirements of the nodes in the network A Greedy Energy Source Minimization Arrangement Method for Capturing Wireless Sensor Networks

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