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Energy efficient cognitive radio networks can simultaneously improve spectrum efficiency (SE) and energy efficiency (EE) of wireless communication networks. This paper studies energy efficient spectrum sensing interval, spectrum sensing energy and transmit power allocation scheme of the secondary user (SU) in CR networks. The EE maximization problem subject to the transmit power constraint and average...
In this paper, cognitive machine to machine (CM2M) gateway in e-healthcare systems are presented by accessing several channels via periodic sensing and spectrum handoff. An optimal energy efficient spectrum management mechanism with multiple thresholds is proposed. The developed mechanism aims to reduce energy consumption in the system by optimizing the spectrum sensing and channel switching, while...
The underwater wireless remote sensors convey messages in a range, where there is no possible human intervention. It is difficult to replace the battery in order to sustain energy in an acoustic environment. Moreover, considering the environment, solar energy cannot be used to recharge for batteries. These sensors are required to be awake for an extended period, taking in consideration that they have...
Spectrum efficiency (SE) and energy efficiency (EE) are two key targets in wireless communication networks. Applying energy harvesting technology to cognitive radio networks (CRNs), which is called RF-powered CRNs, provides an effective method to improve both SE and EE of CRNs. In conventional RF-powered CRNs, secondary transmitters (STs) equipped with RF energy harvesting capability opportunistically...
In this work, a cooperative scenario of cognitive network is considered to maximize the energy efficiency and throughput while maintaining certain boundary conditions like, probability of detection threshold and total power budget allocation. After evaluation of the mathematical form, simulation is done on the basis of relay amplifying factor. Additionally, the optimal level of relay amplifying factor...
Wireless Sensor Networks are gaining more and more importance in present era. Recent Advances in WSN have extended the applicability of these to wide range of real time applications. In these applications, energy is one of the scarce resources. Hence, the main goal of any application using WSN is to spend less energy and extend the lifetime of the WSN. For any type of network communication, quality...
A cooperative cognitive radio (CR) network that accomplishes both spectrum sensing (SS) and sharing is considered in this work. System model is assumed to be a cognitive ad hoc network that consists of multiple secondary transmitter (ST) and receiver (SR) pairs sharing transmission over a spectrum with a primary network of single transmitter-receiver pair. Based on SS outcome, secondary users (SUs)...
Health monitoring system has been an important application in the last decade. There are many types of health sensors that make this system worth and real like wearable sensor, bed sensor and ECG sensor. Primarily, these sensors operate on the license-free 2.4-GHz industrial, scientific, and medical band (ISM). This feature makes this system not only easily applicable, but also probably vulnerable...
The ever increasing demand for communication bandwidth and inefficient usage of the existing spectrum has led to spectrum scarcity. In this light, spectrum should be managed as a scare resource. For radio communication systems, efficient utilization of spectrum is the key requirement. The inefficient usage of the existing spectrum can be improved through opportunistic access to the licensed bands...
Design and development of adaptive, scalable and energy-efficient routing protocols for Wireless Sensor Networks (WSNs) is an active area of research. Many protocols and techniques have been proposed and implemented for energy efficient routing. In this research work, we present Bio inspired Distributed Energy Efficient Clustering (B-DEEC) protocol for WSNs. It is based upon Artificial Bee Colony...
Energy management is an acute challenge for battery powered devices. In this work, we consider a cognitive radio (CR) equipped with energy harvested finite capacity battery. The cognitive radio harvests energy from radio frequency (RF) source (primary channel) as well as from non-RF sources (ambient sources such as wind, solar, and vibration). Energy harvesting from the primary channel occurs only...
In the practical application of cognitive radio network, it is especially important to improve the energy efficiency for those energy-constrained cognitive users. From the perspective of maximizing the energy efficiency in cognitive radio networks, this paper considers the case that the sudden appearance of the primary user can lead to data collision when the cognitive user is transmitting data. Then...
Cognitive radio has emerged as a promising paradigm to improve the spectrum usage efficiency and to cope with the spectrum scarcity problem through dynamically detecting and re-allocating white spaces in licensed radio band to unlicensed users. However, cognitive radio may cause extra energy consumption because it relies on new and extra technologies and algorithms. The main objective of this work...
This paper proposes a joint spectral sensing and secondary data transmission scheme in decode and forward relay assisted cognitive radio networks (CRNs). Sensing information of cognitive source (CS) and cognitive relay (CR) are cooperatively combined at CS to determine the possible presence of primary user (PU). An optimization framework is developed to determine the sensing time, data transmission...
In this paper, we propose a reliable, energy efficient and high throughput routing protocol for Wireless Body Area Networks (WBANs). In Forwarding Data Energy Efficiently with Load Balancing in Wireless Body Area Networks (FEEL), a forwarder node is incorporated which reduces the transmission distance between sender and receiver to save energy of other nodes. Nodes consume energy in an efficient manner...
A cognition scheme, whereby nodes are enabled with the full-duplex technology at the PHY layer in conjunction with packet fragmentation at the MAC layer, is proposed to increase the performance of cognitive radio networks. As full-duplex allows doubling the throughput by equipping secondary users (SUs) with the capability to sense and transmit simultaneously, it also enables them to inflict considerably...
This paper investigates an energy-efficient transmission scheme in cognitive radio networks, where primary users (PUs) may reoccupy the spectrum when secondary users (SUs) is transmitting data. We aim to maximize the energy efficiency by jointly optimizing the transmission power, the fusion rule threshold and the sensing/transmission durations. Firstly, it is derived that for a given fusion rule threshold,...
Wireless Sensor Networks (WSNs) are used to monitor different ambient conditions. These networks can be used for constant environment and habitat monitoring applications such as sensing of humidity, temperature, soil moisture and fire. All these applications have certain desired network performance and lifetime requirements. In this paper, we present our findings about variation in network performance...
In commercial development and research the growth of Wireless sensor networks are very fast. Target coverage is one of the most active areas of research in wireless sensor networks. Coverage in wireless sensor networks is usually defined as a measure of how well and how long the sensors are able to observe the physical space. Several nodes deployments and design based has been developed depending...
In this paper a switch-stay model is proposed for spectrum access by a secondary user in the presence of a primary user, which considers the impact of spectrum handoff delay. This model is then studied to balance the trade-off between the secondary user's energy efficiency and transmission reliability in light of the probability of collision, throughput and delay constraints. Bounds on the probability...
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