Energy Efficient Design for External Cooperative Sensing in Cognitive Radio

Patil, Hemlata; Patil, A. J.; Bhirud, S. G.

doi:10.5120/21185-4260

Cited by 2 publications

(3 citation statements)

References 14 publications

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“…In order to model the channel, we need to first compute the probability of false alarm, which is the probability that a free channel is incorrectly sensed as having a PU on it, and the probability of mis-detection, which is the probability of incorrectly concluding that a channel is free, yet a PU exists on it. For external sensing, we adopt the model proposed by [ 34 ]. Since the external node does the sensing on behalf of the SUs, the SUs will be in wake up mode if and only if they have data to transmit, otherwise, they are in sleep mode which helps them save the energy which would be needed in listening to the external network.…”

Section: Network Modelmentioning

confidence: 99%

A Joint Power, Delay and Rate Optimization Model for Secondary Users in Cognitive Radio Sensor Networks

Muwonge

Pei

Otim

et al. 2020

Sensors

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To maximize the limited spectrum among primary users and cognitive Internet of Things (IoT) users as we save the limited power and energy resources available, there is a need to optimize network resources. Whereas it is quite complex to study the impact of transmission rate, transmission power or transmission delay alone, the complexity is aggravated by the simultaneous consideration of all these three variables jointly in addition to a channel selection variable, since it creates a non-convex problem. Our objective is to jointly optimize the three major variables; transmission power, rate and delay under constraints of Bit Error Rate (BER), interference and other channel limitations. We analyze how total power, rate and delay vary with packet size, network size, BER and interference. The resulting problem is solved using a branch-and-cut polyhedral approach. For simulation of results, we use MATLAB together with the state-of-the-art BARON software. It is observed that an increase in packet size generally leads to an increase in total rate, total power and total transmission delay. It is also observed that increasing the number of secondary users on the channel generally leads to an increased power, delay and rate.

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Section: Network Modelmentioning

confidence: 99%

A Joint Power, Delay and Rate Optimization Model for Secondary Users in Cognitive Radio Sensor Networks

Muwonge

Pei

Otim

et al. 2020

Sensors

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“…According to the findings of [5] secondary user cannot sense and access the channel at same time consequently secondary user can only transmit data or wait on current channel without transmission in the same frame. This problem is addressed where external node [6] is allowed to sense the channel in its sensing time and reports its result to secondary users. In turn secondary users transmit their data in their transmission time thus effectively saving the sensing time and improving the energy efficiency.…”

Section: Literature Surveymentioning

confidence: 99%

“…Each frame of external node consists of a sensing slot and a reporting/transmission slot. Primary user is assumed to be in on-off traffic model [6], Hypothesis model for energy detection can be given as [6];…”

Section: System Modelmentioning

confidence: 99%

Energy Efficient External Sensing in Multichannel Cooperative Cognitive Radio

Patil

Bhirud³

2016

JGE

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In this paper energy-efficient spectrum sensing for multichannel cooperative cognitive radio is proposed. The most essential characteristic of Cognitive Radio is spectrum sensing. The energy consumption of spectrum sensing is mainly affected by how often the primary channel sensed by secondary users. By keeping this point in mind, proposed approach tried to reduce sensing time and also improves the detection precision by quality energy detection. In conventional spectrum sensing secondary users sense the spectrum without disturbing primary user and try to find a vacant slot individually or cooperatively. In doing this a lot of energy is wasted in sensing by secondary users. Cooperation also increases the amount of energy spent in sensing the spectrum as well as in reporting the message about the spectrum vacancy to fusion center. In the proposed method the spectrum sensing is done by external node. It is verified that if the external node is used for channel sensing the tradeoff between sensing/transmission and wait/switch is enhanced. This proposed method reduces energy consumption and improves throughput. Analytical expressions for above method are derived. This work suggests an effective energy saving scheme compared to conventional schemes.

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Energy Efficient Design for External Cooperative Sensing in Cognitive Radio

Cited by 2 publications

References 14 publications

A Joint Power, Delay and Rate Optimization Model for Secondary Users in Cognitive Radio Sensor Networks

A Joint Power, Delay and Rate Optimization Model for Secondary Users in Cognitive Radio Sensor Networks

Energy Efficient External Sensing in Multichannel Cooperative Cognitive Radio

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