Green Cooperative Communication Based Cognitive Radio Sensor Networks for IoT Applications

Mukherjee, Amrit; Rodrigues, Joel J. P. C.; Goswami, Pratik; Manman, Li; Hazra, Ranjay; Yang, Lixia

doi:10.1109/iccworkshops49005.2020.9145290

Cited by 8 publications

(4 citation statements)

References 22 publications

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“…IoT devices can provide many heterogeneous network interfaces to share their resources. Predominantly, two objectives are fulfilled in this section: (1) for Mobile Nodes (MNs) in catastrophe areas, an inventive and real-time mobility model is proposed; (2) the Radio Networks (RN) are placed in less number so that the mobility model that precedes each MN can be linked with the backbone network. Later on, numerous mobile RN are required to be placed so that at least one RN fully covers each of the target squares under constrained transmission range, that is known as Square Disk Cover (SDC) problem.…”

Section: Dynamic Resource Allocation With Iot Device To Flexible Serv...mentioning

confidence: 99%

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Optimized Resource Allocation for IoT-D2D Communication Using WSN

Selvi¹,

Alroobaea²,

Rubaiee³

et al. 2023

Computer Systems Science and Engineering

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The need for a strong system to access radio resources demands a change in operating frequency in wireless networks as a part of Radio Resource Management (RRM). In the fifth-generation (5G) wireless networks, the capacity of the system is expected to be enhanced by Device-to-Device (D2D) communication. The cooperation and Resources Allocation (RA) in the development of Internet of Things (IoT) enabled 5G wireless networks are investigated in this paper. Developing radio RA methods for D2D communication while not affecting any Mobile Users' (MU) communication is the main challenge of this research. Distinct performance goals such as practising equality in the rates of user data, increasing Network Throughput (NT), and reducing End-to-End Delay (EED) are achieved by RA. The study undertaken on optimising performance for various wireless networks is focused on in this research work. Proposing a polynomialtime Proportional Fair Resource Allocation Method (PFRAM), which considers the MU's rate requirements, is the prime objective of this paper. Any Resource Allocation Method (RAM) can be used by the proposed method for MU, and the time and differing location channel conditions are the factors to be adapted with. Allotting more than one resource block is allowed by our PFRAM to a D2D pair. The automatic maintenance of battery-less IoT wireless devices' energy level is done potentially using an Extensible Energy Management System (EEMS). Finally, the device's Node Transmission Power (NTP) can be managed using an Energy-Saving Algorithm (ESA) designed in this work for Node Uplink Data Transmission (NUDT). The trade-off between the Packet Loss Rate (PLR) and NTP is balanced by the algorithm. The cost of NUDT's average Energy Consumption (EC) is reduced by locating the optical NTP. In order to free much bandwidth for wireless information, NUDT conserves the harvested energy for minimising Radio Frequency (RF) Energy Transmission (ET). MATLAB simulations are used to assess the proposed EEMS. The IoT device's NTP is managed using ESA designed for NUDT. The significant minimisation of channel hopping EED and the selection of the premium quality communication channel by the proposed framework are indications of the simulation results. 67.19% is the bandwidth to transmit DPs with the Bandwidth Allocation Algorithm (BAA), which is greater than the cases in its absence.

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Section: Dynamic Resource Allocation With Iot Device To Flexible Serv...mentioning

confidence: 99%

“…One is required to address the functioning of RA for D2D communication if this need is fulfilled. Distinct performance goals are achieved using RA [1][2][3][4][5].…”

Section: Introductionmentioning

confidence: 99%

Optimized Resource Allocation for IoT-D2D Communication Using WSN

Selvi¹,

Alroobaea²,

Rubaiee³

et al. 2023

Computer Systems Science and Engineering

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“…In essence, IoT technology is a technology that enables the interconnection of things through modern information networks [6], enabling the effective exchange and flow of information between items. However, the network environment itself has a certain openness, making it extremely easy for people to incur certain economic losses due to network risks in the application of IoT technology [7], [8]. Therefore, the improvement of the security of the network environment is also a major issue facing the wireless sensor network while improving its own technology level.…”

Section: Introductionmentioning

confidence: 99%

Wireless sensor networks in the internet of things: review, techniques, challenges, and future directions

Zijie,

Al-Shareeda,

Saare

et al. 2023

IJEECS

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Wireless sensor networks (WSN) are an emerging multidisciplinary intersection of cutting-edge research fields, and their advantages in terms of freedom of formation, high signal-to-noise ratio, high strength, and unattended, which makes WSN have good prospects for application in the field of internet of things (IoT). Considering all the benefits that WSN offer, this paper reviews the development history of wireless sensor networks internet of things (WSN-IoT), analyses the technologies used by sensors in the IoT, and illustrates the future developing patterns and remaining challenges, in conjunction with the main technologies in the perception layer of the current network of things industry.

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“…Older individuals, particularly elderly cardiovascular patients, need to check their health problems regularly. Present cardiovascular diagnostic methods must be upgraded, including the use of contemporary technologies, to identify heart conditions in a timely and accurate way at a cheap cost [12]- [14]. ECG screening is widely utilized in hospitals and health research institutes in rural areas due to heart-related health problems [15].…”

Section: Introductionmentioning

confidence: 99%

Internet of things based electrocardiogram monitoring system using machine learning algorithm

Rahman

Shamrat

Kashem

et al. 2022

IJECE

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<span>In Bangladesh’s rural regions, almost 30% of the population lives in poverty. Rural residents also have restricted access to nursing and diagnostic services due to obsolete healthcare infrastructure. Consequently, as cardiac failure occurs, they usually fail to call the services and adopt the facilities. The internet of things (IoT) offers a massive advantage in addressing cardiac problems. This study proposed a smart IoT-based electrocardiogram (ECG) monitoring system for heart patients. The system is divided into several parts: ECG sensing network (data acquisition), IoT cloud (data transmission), result analysis (data prediction) and monetization. P, Q, R, S, and T are ECG signal properties fetched, pre-processed, analyzed and predicted to age level for future health management. ECG data are saved in the cloud and accessible via message queuing telemetry transport (MQTT) and hypertext transfer protocol (HTTP) servers. The linear regression method is utilized to determine the impact of electrocardiogram signal characteristics and error rate. The prediction was made to see how much variation there was in PQRST regularity and its sufficiency to be utilized in an ECG monitoring device. Recognizing the quality parameter values, acceptable outcomes are achieved. The proposed system will diminish future medical costs and difficulties for heart patients.</span>

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Green Cooperative Communication Based Cognitive Radio Sensor Networks for IoT Applications

Cited by 8 publications

References 22 publications

Optimized Resource Allocation for IoT-D2D Communication Using WSN

Optimized Resource Allocation for IoT-D2D Communication Using WSN

Wireless sensor networks in the internet of things: review, techniques, challenges, and future directions

Internet of things based electrocardiogram monitoring system using machine learning algorithm

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