A Novel M2M Backbone Network Architecture

Abstract

Network architecture analysis is a curial issue for a large scale Machine-To-Machine (M2M) network. Considering an M2M backbone network which consists of distributed satellite clusters in geosynchronous orbit (GEO), a new distributed satellite cluster network (DSCN) hybrid topology architecture is proposed in this paper. To the best of the authors' knowledge, the conceptions of domains, strong/weak link, hubs, small world, and degree realizability are proposed for the first time in the DSCN based M2M backbone networks. How these features affect the network is given through analysis and simulation. By employing Network Science Theory, a strong constraint DSCN topology is presented. In addition, we compare the DSCN with several typical network topologies. Results show that the proposed hybrid architecture realizes a stunning trade-off between the efficiency and robustness.

Provision of traffic grooming for distributed satellite cluster networks

“…To employ traffic grooming in DSCNs, we adopt an access and hub ring (which consists of N hub satellites) architecture where a hub satellite can be utilized to connect with M access satellites, 28 as shown in Figure 1. From the perspective of the whole network, access satellites and hub satellites serve as access switches ( ASs ) and core switches ( CSs ), respectively.…”

Joint power and bandwidth allocation for beam-hopping user downlinks in smart gateway multibeam satellite systems

“…It can provide communication, navigation, and remote sensing service simultaneously using various space platforms, for example, satellites, aerial vehicles, and terrestrial terminals. 1,2 The traffic demands for the satellite communications in SIN are continuously increasing with the development of SIN, thus higher frequency bands such as Ka (20/30 GHz) and Q/V (40/50 GHz) are employed in more and more satellite networks. Although more available spectrum can be achieved by migrating to higher bands, the signal will also experience more severe degradations.…”

Efficient distributed storage strategy based on compressed sensing for space information network

“…It can provide communication, navigation, and remote sensing service simultaneously using various space platforms, for example, satellites, aerial vehicles, high-altitude platforms (HAPs), and terrestrial terminals. 1,2 Unlike traditional wireless networks, the network status of SIN was changing dynamically due to the distinguishing characteristics such as self-organizing and large scale. 3 In our prior work, 4 we divided the SIN into a series of hierarchical autonomous system (AS) networks based on the property of space nodes.…”