scholarly journals Sensing-Based Dynamic Spectrum Sharing in Integrated Wireless Sensor and Cognitive Satellite Terrestrial Networks

Sensors ◽  
2019 ◽  
Vol 19 (23) ◽  
pp. 5290 ◽  
Author(s):  
Jing Hu ◽  
Guangxia Li ◽  
Dongming Bian ◽  
Jingyu Tang ◽  
Shengchao Shi
Keyword(s):  
Wireless Sensor Network ◽  
Sensor Network ◽  
Spectrum Sharing ◽  
Satellite Communication ◽  
Dynamic Spectrum ◽  
Satellite Networks ◽  
Wireless Sensor ◽  
Transmit Power ◽  
Dynamic Spectrum Sharing ◽  
Terrestrial Network

This paper presents a cognitive satellite communication based wireless sensor network, which combines the wireless sensor network and the cognitive satellite terrestrial network. To address the conflict between the continuously increasing demand and the spectrum scarcity in the space network, the cognitive satellite terrestrial network becomes a promising candidate for future hybrid wireless networks. With the higher transmit capacity demand in satellite networks, explicit concerns on efficient resource allocation in the cognitive network have gained more attention. In this background, we propose a sensing-based dynamic spectrum sharing scheme for the cognitive satellite user, which is able to maximize the ergodic capacity of the satellite user with the interference of the primary terrestrial user below an acceptable average level. Firstly, the cognitive satellite user monitors the channel allocated to the terrestrial user through the wireless sensor network; then, it adjusts the transmit power based on the sensing results. If a terrestrial user is busy, the satellite user can access the channel with constrained power to avoid deteriorating the communication quality of the terrestrial user. Otherwise, if the terrestrial user is idle, the satellite user allocates the transmit power based on its benefit to enhance the capacity. Since the sensing-based dynamic spectrum sharing optimization problem can be modified into a nonlinear fraction programming problem in perfect/imperfect sensing conditions, respectively, we solve them by the Lagrange duality method. Computer simulations have shown that, compared with the opportunistic spectrum access, the proposed method can increase the channel capacity more than 20% for Pav = 10 dB in a perfect sensing scenario. In an imperfectsensing scenario, Pav = 15 dB and Qav = 5 dB, the optimal sensing time achieving the highest ergodiccapacity is about 2.34 ms when the frame duration is 10 ms.

scholarly journals SenPUI: Solutions for Sensing and Primary User Interference in Cognitive Radio Implementation of a Wireless Sensor Network

2019 ◽  
Vol 2019 ◽  
pp. 1-8 ◽  
Author(s):  
Kedir Mamo Besher ◽  
Juan-Ivan Nieto-Hipolito ◽  
Mabel Vazquez Briseno ◽  
Raymundo Buenrostro Mariscal
Keyword(s):  
Cognitive Radio ◽  
Wireless Sensor Network ◽  
Sensor Network ◽  
Spectrum Sharing ◽  
Primary User ◽  
Spectrum Management ◽  
Wireless Sensor ◽  
Battery Lifetime ◽  
Base Solution ◽  
User Interference

After an introduction of cognitive radio (CR) technology in communication, the hot research topics are sensing, Primary User Interference (PUI), spectrum management, security, spectrum sharing, and environmental sensing. Among the listed, sensing and Primary User Interference are the bold ones. The base query for these two problems lays finding a means for which and what channel at a particular time is available and avoiding interference with Primary Users (PU). This article presents a novel cognitive radio algorithm called SenPUI for both mentioned main challenges, sensing and PUI. First, energy scan during the inactive portion of communication which is dynamic is done. Second, application packet based primary user identification for PUI avoidance is proposed as base solution. Both techniques described in this work are implemented and resulted in a significant reduction of the target problems estimated around 10-30% reduction in average. Main limitations of Wireless Sensor Network (WSN) such as memory, battery lifetime, and size are considered during the design and implementation of our solutions.

Routing Protocol Design Issues and Challenges in Underwater Wireless Sensor Network

2021 ◽  
pp. 1-15
Author(s):  
Monika Choudhary ◽  
Nitin Goyal
Keyword(s):  
Wireless Sensor Network ◽  
Sensor Network ◽  
Routing Protocols ◽  
Protocol Design ◽  
Sensor Nodes ◽  
Wireless Sensor ◽  
Available Bandwidth ◽  
Underwater Environment ◽  
Spatially Distributed ◽  
Terrestrial Network

An underwater wireless sensor network (UWSN) is a group of spatially distributed sensors for monitoring the physical changes of underwater environment and organize the measured data at a base station. Out of many big challenges in this field, network protocol design is of great concern due to the idiosyncratic nature of underwater environment. As underwater sensor networks are very much distinct in nature from terrestrial network so as the challenges, some of the major issues of concern in underwater environment are long propagation delay, available bandwidth, error rate, restricted battery power, movement of sensor nodes, etc. Because of all these issues and challenges, the routing protocols for terrestrial network can't be implemented in UWSNs. Hence, there is demand for new and different routing protocols for UWSNs. In this chapter, an overall survey of various routing protocols along with pros and cons are explained with challenges for designing new routing protocols for vast and enormous UWSNs.

Wireless Sensor Network for Satellite Applications: A Survey and Case Study

2014 ◽  
Vol 02 (03) ◽  
pp. 261-277 ◽  
Author(s):  
Shuanglong Xie ◽  
Guo Xiong Lee ◽  
Kay-Soon Low ◽  
Erry Gunawan
Keyword(s):  
Wireless Sensor Network ◽  
Sensor Network ◽  
Satellite Communication ◽  
Wireless Sensor ◽  
Space Applications ◽  
Trade Offs ◽  
Wide Range ◽  
Satellite Applications ◽  
To Receive

Wireless sensor network (WSN) has been used in a wide range of applications in recent years. However, its use in space applications has yet to receive the same level of attention. In this paper, a survey on WSN for two major spacecraft applications namely the intra-satellite communication and inter-satellite communication is presented. The challenges and trade-offs will be discussed and a case study of using WSN for inter-satellite communication will be presented.

Sign in / Sign up

Export Citation Format

Share Document