5/29/2023 0 Comments Satellite downlink![]() ![]() Second, we design a tree-based ant colony (TAC) routing algorithm in the CCN-based satellite IoT architecture. The IoT data are no longer available only through a direct connection. With the help of the CCN, IoT data can be cached anywhere and transmitted through interest packets and content packets. First, we design the agent super-router (SR) between satellites and IoT devices using the CCN and propose a CCN-based satellite IoT architecture. To solve these problems, we study the architecture and routing algorithm of the satellite IoT based on a content-centric network (CCN). However, with the explosion of IoT devices and IoT data, direct connections can bring serious problems for the satellite IoT, such as network congestion and link overhead. In traditional satellite IoT architecture, IoT devices are allowed to access satellites directly. The satellite Internet of Things (IoT) is an ideal solution for enabling various IoT devices to access networks anytime and anywhere. The existing literature also establishes that response actors are leveraging satellite technology to fill gaps in communications connectivity during disasters to reduce risk, which has both national and international implications. ![]() Results indicate that communication technology does aid emergency managers in the highly pressurized response environment but the systems being relied upon are themselves vulnerable to disasters. The aim is to provide practicing emergency managers with the means to overcome communication gaps in wireless and satellite technology to maintain this common picture, save lives in the wake of disasters, and protect emergency responders during hazardous mass rescue operations. Through a focused review of the relevant literature and policy documents, this study analyzes disaster response command and control, emerging communication capabilities, and satellite technology related to developing a common operating picture for all actors. ![]() However, satellite technology offers solutions to safeguard lifesaving coordination in austere environments. Technological advancements in wireless communication systems are improving resource tasking, tracking, and awareness but are vulnerable to interruption from the destruction inflicted by natural hazards. The increase in response assets across agencies is complicating synchronization and communication during lifesaving operations. Natural hazards and human-made disasters are increasing in magnitude and frequency due to climate change. We also discuss several optimization criteria regarding LEO-PNT SIS design, by taking into account the tradeoff between a low cost/low number of satellites on orbit, on one hand and a sufficient coverage and good CNR for PNT purpose on the other hand. We address different constellation types, achievable coverage limits, and Geometric Dilution of Precision (GDOP) bounds, as well as achievable carrier-to-noise ratios (CNR) under a realistic wireless channel model, based on a Matlab Quadriga simulator. This paper presents a survey of the SIS design challenges under the inherent constraints of wireless-channel propagation impairments as well as some design recommendations for SIS features. Several challenges are to be overcome when designing a new LEO-PNT solution, concerning all three satellite segments: the signal-in-space (SIS) or space segment, the ground segment, and the user/receiver segment. Such satellites have low-to-moderate costs of building, launching, and maintenance. One of such complementary methods under current research is the so-called LEO-PNT, namely PNT solutions based on Low Earth Orbit (LEO) satellites, and in particular on small-sized or miniaturized satellites. Therefore, there are efforts worldwide to develop complementary positioning, navigation, and timing (PNT) solutions. The Global Navigation Satellite Systems (GNSS) are increasingly suffering from interferences, such as coming from jammers and spoofers, and their performance is still modest in challenging urban and indoor scenarios. ![]()
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