Energy and spectral efficient solutions are indispensable to the success of Internet Things (IoT). The design development energy for IoT very challenging mainly because large-scale deployment a massive number sensors devices. harvesting cognitive radios (CRs) considered as promising technologies efficiency, respectively. In this paper, we propose an spectrum scheme CR sensor networks (CRSNs). We present architecture CRSNs IoT, in which nodes can access opportunistically harvest from ambient...

Information-centric networking (ICN) approaches have been considered as an alternative approach to TCP/IP. Contrary the traditional IP, ICN treats content a first-class citizen of entire network, where names are given through different naming schemes contents and used during retrieval. Among approaches, centric (CCN) is one key protocols being explored for Internet Things (IoT), using hierarchical naming. Moreover, CCN follows pull-based strategy exhibits communication loop problem because...

Internet-of-Things (IoT)-based sensor networks have gained unprecedented popularity in recent years and they become crucial for supporting high data rate real-time applications. For efficient transmission within IoT networks, it is necessary that each node learns adapts itself to time/spectral characteristics of channels maximize the throughput perform channel swapping wherever required. Many researchers proposed allocation quality measurement protocols multichannel networks. However, best...

It is inevitable for cognitive radio to find unutilized portion of the spectrum more accurately successful deployment dynamic sensing. To achieve highly reliable sensing, usually cooperative sensing employed but still there a margin improve local decisions. Cooperative improves reliability at cost cooperation overhead among users, which can be reduced by improving Several signal processing techniques primary user detection have been proposed in literature room researchers this field explore...

Abstract Femtocell is a technology that contributes towards the escalation of coverage as well throughput. By virtue uncertain deployment femtocells, self‐organisation viable solution for resource allocation. In this study, we are projecting docitive Q‐learning (DQL) paradigm joint allocation and power control (JRAPC). Moreover, proposed learning compared with independent same JRAPC problem. DQL paradigm, femto base stations, which agents, learn strategies by exploiting share their learned...

This paper highlights three critical aspects of the internet things (IoTs), namely (1) energy efficiency, (2) balancing and (3) quality service (QoS) presents novel schemes for addressing these aspects. For a radio frequency (RF) energy-harvesting scheme is presented in which each IoT device associated with best possible RF source order to maximize overall that devices harvest. balancing, close proximity are clustered together then an highest residual selected as cluster head (CH) on...

The cognitive radio (CR) is evolved as the potential technology to solve problem of spectrum scarcity and meet stringent requirements upcoming wireless services. CR has two distinct features, sensing parameter adaptation. former feature helps find vacant slots/channels in band while latter mechanism allows it adjust operating parameters (e.g. frequency band, modulation power, etc.) accordingly. primary user (PU) activity serious effects on overall performance network (CRN).The should vacate...

Femtocells represent a novel configuration for existing cellular communication, contributing towards the improvement of coverage and throughput. The dense deployment these femtocells causes significant femto-macro femto-femto interference, consequently deteriorating throughput femtocells. In this study, we compare two heuristic approaches, i.e., particle swarm optimization (PSO) genetic algorithm (GA), joint power assignment resource allocation, within context femtocell environment....

The Internet of Things (IoT) has gained an incredible importance in the communication and networking industry due to its innovative solutions advantages diverse domains. IoT' network is a smart physical objects: devices, vehicles, buildings, etc. IoT number applications ranging from home, surveillance healthcare systems. Since consists various heterogeneous devices that exhibit different traffic patterns expect quality service (QoS) terms data rate, bit error rate stability index channel,...

Device to device (D2D) communication has emerged as a potential candidate for next-generation networks support higher data rates and minimize power consumption. The spectral energy efficiency of D2D can further be improved using cognitive radio (CR) frequency harvesting (RF-EH) technologies. Therefore, in this paper, sum throughput maximization problem CR assisted network is modeled considering the RF-EH mechanism. A joint optimization formulated sum-rate cellular users by allocation,...

Device-to-device (D2D) communication has emerged as a potential candidate for 5G and beyond networks to optimize spectrum utilization, reduce power consumption, support higher data rates. The energy spectral efficiency of D2D can be enhanced further by adapting cognitive radio (CR), nonorthogonal multiple access (NOMA), radio-frequency harvesting (RF-EH) technologies. Therefore, this article proposes sum-rate maximization problem D2D-assisted CR network with NOMA, considering the RF-EH...

The cognitive radio (CR) seems to be an optimal transmission system which can achieve higher throughput efficiency by exploiting the best areas of spectrum. However, CR should obey interference limit in order protect primary radios (PRs). In this paper, we introduce innovative channel allocation scheme that minimizes caused on on-going communication (PR). We implement problem as assignment and employ Hungarian algorithm for its solution under objective minimizing overall users networks....

Abstract Cognitive radio (CR) is a novel methodology that facilitates unlicensed users to share licensed spectrum without interfering with users. This intriguing approach exploited in the Long Term Evolution-Advanced (LTE-A) network for performance improvement. Although LTE-A foremost mobile communication standard, future underutilization of needs be addressed. Therefore, dynamic access explored this study. The CR can significantly enhanced by employing predictive modeling. neural...

Spectral-efficiency and energy-efficiency are the key concerns for next-generation wireless networks. RF energy-harvesting is emerged as a prominent technology which self-empowers nodes to achieve energy-efficiency. For spectral-efficiency, opportunistic spectrum-access (by employing cognitive radios) an optimal solution. Therefore, in this paper, we merge both technologies (cognitive radio & energy harvesting) together network-wide spectral efficiency. A novel two-level residual-energy...

The conventional wireless sensor networks (WSNs) operating on the license-free ISM band are now experiencing large interference from other based devices. cognitive radio network (CRSN) can solve this issue of and it provide better services within domain WSNs. In paper, we propose a novel joint node selection channel allocation scheme to improve performance CRSNs. We consider cluster oriented form clusters using K-means clustering algorithm. is formulated knapsack problem where each head...

The cognitive radio network (CRN) is a promising solution to the problem of spectrum scarcity. To achieve efficient utilization, requires robust sensing and sharing scheme. Therefore, scheme plays key role in achieving optimal utilization available spectrum. CRN more challenging than traditional wireless network. main factors besides throughput fairness which need be addressed are primary user (PU) activity, transmission power, variations environment. In this article, we propose fair,...

Abstract In order to meet the high throughput demand set by international mobile telecommunication union, carrier aggregation is exploited for expanding bandwidth of up 100 MHz in Long Term Evolution-Advanced (LTE-A). For achieving aforementioned bandwidth, a maximum five component carriers (CCs) can be aggregated as per Release 10 LTE-A. Improper CC selection and scheduling will result hazardous throughput, fairness, interference problems. Therefore, proper algorithm most important overall...

Cognitive capabilities are indispensable for the Internet of Things (IoT) not only to equip them with learning, thinking, and decision-making but also cater their unprecedented huge spectrum requirements due gigantic numbers heterogeneity. Therefore, in this paper, a novel unified channel management framework (CMF) is introduced cognitive radio sensor networks (CRSNs), which comprises an (1) opportunity detector (ODR), (2) scheduler (OSR), (3) ranker (ORR) specifically address immense...

The problem of spectrum scarcity has given the birth to cognitive radio network (CRN) that offers innovative advantages over fixed devices. Moreover, it also provides solution cater congestion among low power devices are operating in ISM band. In CRNs, (CR) dynamically selects available channel and then adapts itself according characteristics channel. However, random appearance primary (PR) degrades transmission a CR which needs be addressed properly order have real world application CRN....

Abstract This article shares Engro's experience at its ammonia plant involving the prevention of major failures synthesis gas compressor turbine by taking prompt action to shutdown compressor. strategy providing operations training enable and empower people make right decisions time is learning this article, whereby a manual before automatic instrumentation trip machine was initiated. also describes techniques used team train their people. Despite outage more than 10 days replace rotor, we...

The demand for high speed data communication and seamless user connectivity is increasing day by which lead towards the development of new next generation services. Wi-Fi, most popular wireless networking technology uses radio waves as medium transmission. However, it has a constraint over security, reliability, range Li-Fi addresses these issues providing high-speed tremendously faster than Wi-Fi. Furthermore, also considered an ideal candidate secure communication. In this paper, we...

In order to have escalation in the throughput of LTE-Advanced network, carrier aggregation (CA) is employed for meeting requirement set by International Telecommunication Union (ITU). Within context CA, component (CC) selection and scheduling most critical task has significant impact on network performance. this study, we propose a self-organized downlink resource allocation exploiting genetic algorithm, where considered as joint CC scheduling. Primarily, each base station executes proposed...