Abstract
Hybrid sensor networks (HSNs) comprise of mobile and static sensor nodes setup for purpose of collaboratively performing tasks like sensing a phenomenon or monitoring a region. In this paper, we present target interception as a novel application using mobile sensor nodes as executor. Static sensor nodes sense, compute and communicate with each other for navigation. Mobile nodes are guided to intercept target by the static nodes nearby. Our approach does not require any prior maps of the environment thus, cutting down the cost of the overall energy consumption. As to multi-targets multi-mobile nodes case, we present a PMB algorithm for task assignment. Simulation results have verified the feasibility and effectiveness of our approach proposed.
Highlights
A networked system of hybrid sensor networks opens new frontiers in variety of civilian and military applications and in some scientific disciplines
The underlying principle in this hybrid network between the mobile and static nodes is that: the static nodes serve as the sensing, computation and communication medium, whereas the robots provide action and finish the task of blocking with the help of static sensors
In this work we focus on minimizing the Time-to-Interception (TI) of mobile node
Summary
A networked system of hybrid sensor networks opens new frontiers in variety of civilian and military applications and in some scientific disciplines. A mixture of networked mobile robots and static sensors reduce the cost but preserves the flexibility and advantageous capabilities of a multi-robot system. We are broadly interested in the mutually beneficial collaboration between mobile and static sensor networks. The underlying principle in this hybrid network between the mobile and static nodes is that: the static nodes serve as the sensing, computation and communication medium, whereas the robots provide action and finish the task of blocking with the help of static sensors. Some properties of our approach are summarized below: 1) The sensor network is pre-deployed into the environment deterministically or randomly for the full coverage of the region
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