Capacity Model and Constraints Analysis for Integrated Remote Wireless Sensor and Satellite Network in Emergency Scenarios

Zhang, Wei; Zhang, Gengxin; Dong, Feihong; Xie, Zhidong; Bian, Dongming

doi:10.3390/s151129036

Cited by 7 publications

(6 citation statements)

References 43 publications

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“…[17] presented hybrid sensor-satellite networks, sensor-satellite direct communication, connections via a gateway node employing random node layout and cluster-based node layout with data aggregation. [18] formulated a general model to evaluate the IWSSNs capacity to optimize the schedules. The IWSSNs have been studied for many works in architectures, capacity and efficiency analysis, yet there are rarely previous research on transmit scheme for the IWSSNs.…”

Section: Related Work and Contributions 21 Integrated Wireless Sensmentioning

confidence: 99%

“…Generate the candidates , w ( ) km i by using equation (16); Find the most violated constraint for , w ( ) km i ; Scale , w ( ) km i by coefficient  of equation 17to make constraints satisfy with equality; km  :  is maximized over epigraph of (10) and subjected to constraints on , w km . Problem (18) belongs to the non-convex quadratically constrained quadratic problem (QCQP), and semi-definite relaxation (SDR) has been proved to reduce non-convex QCQP into a relaxed SDP problem by changing the optimization variables (12). , then relaxes to the quasi-convex problem.…”

Section: Sdp Algorithm For Transmit Power Minimizationmentioning

confidence: 99%

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Hybrid Full Frequency Precoding for Integrated Remote Wireless Sensor and Multibeam Satellite Networks

2016

KSII TIIS

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This paper investigates an efficient transmission scheme for the remote wireless sensors to receive information which is rarely discussed in the integrated remote wireless sensor and multibeam satellite networks (IWSMSNs). The networks can be employed to exchange sensing information for emergency scenario, ocean scenario, and so on, which are isolated from available terrestrial networks. As the efficient transmission link is important to the IWSMSNs, we propose a hybrid full frequency (HFF) precoding by taking advantage of frequency reuse and multiple-input multiple-output (MIMO) precoding. Considering energy efficiency and sinks fairness are crucial to transmission link, thus the HFF precoding problems are formulated as transmit power minimization (TPM) and max-min fair (MMF) received signal to interference plus noise ratio (SINR) problems, which can be transformed to indefinite quadratic optimization programs. Then this paper presents a semi-definite programming (SDP) algorithm to solve the problems for the IWSMSNs. The promising potential of HFF for the real IWSMSNs is demonstrated through simulations.

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Section: Related Work and Contributions 21 Integrated Wireless Sensmentioning

confidence: 99%

Section: Sdp Algorithm For Transmit Power Minimizationmentioning

confidence: 99%

Hybrid Full Frequency Precoding for Integrated Remote Wireless Sensor and Multibeam Satellite Networks

2016

KSII TIIS

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“…The work in [ 11 ] addressed four architectures of satellite-based WSNs and analyzed the performance of average end-to-end packet delay, packet loss rate and overall energy consumption. In addition, Reference [ 12 ] presented the model to evaluate the capacity of the remote sensor and satellite network and attempted to optimize the integrated wireless sensor and satellite network schedules.…”

Section: Introductionmentioning

confidence: 99%

A Novel Dynamic Spectrum-Sharing Method for Integrated Wireless Multimedia Sensors and Cognitive Satellite Networks

Wang

Bian

Zhang

et al. 2018

Sensors

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With the growing demand, Wireless Multimedia Sensor Networks (WMSNs) play an increasingly important role, which enhances the capacity of typical Wireless Sensor Networks (WSNs). Additionally, integrating satellite systems into WMSNs brings about the beneficial synergy, especially in rural and sparsely populated areas. However, the available spectrum resource is scarce, which contradicts the high-speed content required for multimedia. Cognitive radio is a promising solution to address the conflict. In this context, we propose a novel spectrum-sharing method for the integrated wireless multimedia sensor and cognitive satellite network based on the dynamic frequency allocation. Specifically, the Low Earth Orbit (LEO) satellite system plays the role of the auxiliary to connect sensor nodes and the remote control host, and it shares the same frequency with the Geostationary Earth Orbit (GEO) system in the downlink. Because the altitudes of GEO and LEO satellites differ greatly, the beam size of GEO is much larger than that of LEO, which provides the opportunity for LEO beam to reuse the frequency that was allocated to the GEO beam. A keep-out region is defined to guarantee the spectral coexistence based on the interference analysis in the worst case. In addition, a dynamic frequency allocation algorithm is presented to deal with the dynamic configuration caused by the satellite motion. Numerical results demonstrate that the dynamic spectrum-sharing method can improve the throughput.

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“…Then, [27] addressed four integrated sensor-satellite network architectures and analyzed the performance of packet loss rate, average end-to-end packet delay and overall energy consumption. The work in [28] evaluated the remote sensor and satellite network capacity and attempted to optimize the integrated wireless sensor and satellite network schedules. Furthermore, [29,30] investigated the applications of near-space and high altitude platform (HAP)/satellite for the WSNs.…”

Section: Introductionmentioning

confidence: 99%

“…However, the transmission research of integrated wireless sensor and satellite networks [23,24,25,26,27,28,29] did not consider the interference from the other terrestrial networks. As has been stated, the beam radius of the multibeam satellite covers hundreds of kilometers, tens of times larger than the cell radius of terrestrial wireless communication networks.…”

Section: Introductionmentioning

confidence: 99%

Performance Analysis of Integrated Wireless Sensor and Multibeam Satellite Networks Under Terrestrial Interference

Yin

Gong

et al. 2016

Sensors

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This paper investigates the performance of integrated wireless sensor and multibeam satellite networks (IWSMSNs) under terrestrial interference. The IWSMSNs constitute sensor nodes (SNs), satellite sinks (SSs), multibeam satellite and remote monitoring hosts (RMHs). The multibeam satellite covers multiple beams and multiple SSs in each beam. The SSs can be directly used as SNs to transmit sensing data to RMHs via the satellite, and they can also be used to collect the sensing data from other SNs to transmit to the RMHs. We propose the hybrid one-dimensional (1D) and 2D beam models including the equivalent intra-beam interference factor β from terrestrial communication networks (TCNs) and the equivalent inter-beam interference factor α from adjacent beams. The terrestrial interference is possibly due to the signals from the TCNs or the signals of sinks being transmitted to other satellite networks. The closed-form approximations of capacity per beam are derived for the return link of IWSMSNs under terrestrial interference by using the Haar approximations where the IWSMSNs experience the Rician fading channel. The optimal joint decoding capacity can be considered as the upper bound where all of the SSs’ signals can be jointly decoded by a super-receiver on board the multibeam satellite or a gateway station that knows all of the code books. While the linear minimum mean square error (MMSE) capacity is where all of the signals of SSs are decoded singularly by a multibeam satellite or a gateway station. The simulations show that the optimal capacities are obviously higher than the MMSE capacities under the same conditions, while the capacities are lowered by Rician fading and converge as the Rician factor increases. α and β jointly affect the performance of hybrid 1D and 2D beam models, and the number of SSs also contributes different effects on the optimal capacity and MMSE capacity of the IWSMSNs.

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Capacity Model and Constraints Analysis for Integrated Remote Wireless Sensor and Satellite Network in Emergency Scenarios

Cited by 7 publications

References 43 publications

Hybrid Full Frequency Precoding for Integrated Remote Wireless Sensor and Multibeam Satellite Networks

Hybrid Full Frequency Precoding for Integrated Remote Wireless Sensor and Multibeam Satellite Networks

A Novel Dynamic Spectrum-Sharing Method for Integrated Wireless Multimedia Sensors and Cognitive Satellite Networks

Performance Analysis of Integrated Wireless Sensor and Multibeam Satellite Networks Under Terrestrial Interference

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