Optimized Allocation Of Distributed Interference Resource In Sensor Network

In modern warfare, making effective interference plays an important part in getting the victory of the war. This paper makes radar as the main target, gets information of enemy radar through electronic reconnaissance, reduces the radar capabilities by using the electronic jamming interference to undermine the effective use of radar. However, traditional single electronic warfare equipment has been unable to adapt to the complex combat environment, and the interference requirements of the equipment are also increasing. Automatic or controlled distributed collaborative interference makes the"face to face"interference to the enemy radar, especially the interference under the distributed collaborative jamming system with wireless sensor network. And the system can add the noise power of the multiple interference signal of the wireless sensor nodes, and reduce the the requirement of each interfering power.The paper discusses the difference of energy loss and complexity between different forms of interference, including synchronous collaboration interference, uniform circulating collaboration interference, non-uniform circulating collaboration interference. The synchronous collaboration interference not only be better than the uniform circulating collaboration interference in the loss of energy, but also has the more simple interference form than the uniform/non-uniform circulating collaboration interference from the point of the distribution. Therefore, choosing synchronous collaboration interference form. Selecting the frequency on the premise of determining the interference form. The deduction and simulation show that full-frequency interference and part-frequency interference have the same energy loss. But the task complexity of full-frequency interference is lower than part-frequency interference. So the paper use the all-frequency interference.The allocation of interference resource of wireless sensor network system is based on the determination of time and frequency, the paper studies the different allocation algorithm between the model of the certainty interference power of each node and the model of the uncertainty interference power of each nodes. But the two models have the same goal. The goal is prlonging the life cycle of the wireless sensor network system by meeting the premise of effective suppression. In addition, due to the different effect of the time and frequency and so on, they have different weight when evaluate the effects. The system uses the method of aiming incomplete information for the weight range and multi-attribute decision making to amend the unreasonable allocation for the wireless sensor nodes and make re-evaluation.The paper combines the theoretical analysis and simulation tests to verify the results of the analysis. It highlights the superiority the distributed many-to-one collaboration interference than one-to-one interference. It also analyzes the feasibility of the interference system of wireless sensor network. This distributed many-to-one collaboration interference will be more widely used in the future electronic war.