Abstract
This article investigates the capacity problem of an integrated remote wireless sensor and satellite network (IWSSN) in emergency scenarios. We formulate a general model to evaluate the remote sensor and satellite network capacity. Compared to most existing works for ground networks, the proposed model is time varying and space oriented. To capture the characteristics of a practical network, we sift through major capacity-impacting constraints and analyze the influence of these constraints. Specifically, we combine the geometric satellite orbit model and satellite tool kit (STK) engineering software to quantify the trends of the capacity constraints. Our objective in analyzing these trends is to provide insights and design guidelines for optimizing the integrated remote wireless sensor and satellite network schedules. Simulation results validate the theoretical analysis of capacity trends and show the optimization opportunities of the IWSSN.
Highlights
Emergency scenarios can benefit from the deployment of a remote wireless sensor network (WSN) in the target area for a two-fold task: (1) gathering important information from the field; and (2) supporting audio, video and data communication when other terrestrial systems are not available
We study the capacity problem of an integrated remote wireless sensor and satellite network (IWSSN)
As we assess sensor and satellite network capacity, we do not consider links between sensors for three reasons. (1) sensor nodes connected to each other can be taken as one virtual source or destination node, as shown in the following Figure 1; the gateway and the satellite can be taken as one virtual source or destination node; (2) links between sensor nodes usually exist, but information in a disaster area cannot go back to the the core network in the normal area without the help of satellites in most emergency scenarios; (3) the analysis of the network capacity between sensors helps us little to provide guidelines for optimizing the IWSSN schedules
Summary
Emergency scenarios can benefit from the deployment of a remote wireless sensor network (WSN) in the target area for a two-fold task: (1) gathering important information from the field; and (2) supporting audio, video and data communication when other terrestrial systems are not available. Nishiyama et al [12] proposed a distributed traffic load strategy based on network capacity estimation for a multi-layered satellite network They assumed a specific scenario where the inter-satellite links (ISLs) are lattice connected. There are other works studying the satellite or ground node network capacity [15,16], but they lack universal properties that can be extended to study the capacity of dynamic heterogeneous integrated remote wireless sensor and satellite networks. We study the capacity problem of an integrated remote wireless sensor and satellite network (IWSSN). We sift through major capacity-impacting constraints and analyze the influence of these constraints With this model, we can rigorously study the time-varying network capacity trends and limitations of the remote sensor and satellite network.
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