Target-Barrier Coverage Enhancement in an Insecticidal Lamps Internet of UAVs

PROJECT TITLE :

Target-Barrier Coverage Improvement in an Insecticidal Lamps Internet of UAVs

ABSTRACT:

Insecticidal lamps The Internet of Things (IoTs) has recently come under a lot of scrutiny because of its potential applications in environmentally friendly pest control for agriculture. If, however, the ILs are fixed to the ground, the Internet of Things component of ILs cannot provide a perfect solution to the outbreak of migratory pests. In this paper, we embed ILs in unmanned aerial vehicles (UAVs) as the mobile nodes. These unmanned aerial vehicles can be rapidly landed on the ground to kill agricultural pests. Additionally, the Internet of UAVs (IoUAV) is introduced to extend the application of ILs-IoTs. We formulate the problem of target-barrier coverage and investigate how to construct target-barrier coverage using the fewest possible IL-UAVs so that we can get the most out of the IL-IoUAVs. This allows us to maximize the utility of the IL-IoUAVs. The -target-barrier coverage is presented by utilizing the realistic probabilistic sensing model of IL-UAVs. On the basis of this model, we investigate how to guarantee the -target-barrier coverage while simultaneously reducing the number of IL-UAVs that are required to accomplish this task. An efficient algorithm that combines a number of different target-barriers is what's needed to fix the issue. The results of the evaluation demonstrate the effectiveness of the algorithms that we designed for the construction of -target-barrier coverage.

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