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Forthcoming articles have been peer-reviewed and accepted for publication but are pending final changes, are not yet published and may not appear here in their final order of publication until they are assigned to issues. Therefore, the content conforms to our standards but the presentation e. Additionally, titles, authors, abstracts and keywords may change before publication. Articles will not be published until the final proofs are validated by their authors. Forthcoming articles must be purchased for the purposes of research, teaching and private study only. These articles can be cited using the expression 'in press'. For example: Smith, J. Article Title. Journal Title. Articles marked with this shopping trolley icon are available for purchase - click on the icon to send an email request to purchase. Online First articles are published online here, before they appear in a journal issue. Online First articles are fully citeable, complete with a DOI. They can be cited, read, and downloaded. Online First articles are published as Open Access OA articles to make the latest research available as early as possible. Register for our alerting service , which notifies you by email when new issues are published online. International Journal of Communication Networks and Distributed Systems Forthcoming and Online First Articles Forthcoming and Online First Articles International Journal of Communication Networks and Distributed Systems Forthcoming articles have been peer-reviewed and accepted for publication but are pending final changes, are not yet published and may not appear here in their final order of publication until they are assigned to issues. Articles marked with this Open Access icon are Online First articles. They are freely available and openly accessible to all without any restriction except the ones stated in their respective CC licenses. It has also been observed that improving scalability, mobility, bandwidth, and energy efficiency has always been a challenging aspect in Ad-hoc routing protocols like MANET. In this paper, we present a comprehensive survey of all the promising routing protocols in MANET, considering the key constraints such as energy-efficiency and throughput delivery in disaster relief operations. The key controlling parameters include mobile node processing speed, background running applications, data storage capacity, and residual battery power. DOI: In the SD-IoT , they have drawn several attacks as a result of their novelty. For performance evaluation, some well-known metrics have been used which deal with binary as well multi-class classification, namely recall, accuracy, FAR, F1, precision, CKC, and prediction time. This trained model is deployed for attack detection in the OpenFlow enabled devices of data plane of SD-IoT where it can detect the attacks in a distributed manner. In parallel, new applications and services with restricted requirements of delay and throughput have been developed. The 5G architecture is an enabler for such evolution, however, some fundamental management tasks deserve deep research, specially the cache placement. There are still challenges concerning the design of caching policies, such as limited storage space, content popularity, user requirements, and network congestion. In this context, we propose, implement, and evaluate a model of network-aware cooperative cache policy to decrease the latency experienced by heterogeneous cellular network HCN end-users. The model was formulated through integer linear programming ILP and performs both cache placement and request routing tasks. To composing a baseline for comparisons, we improved state-of-the-art policies by adding network-based attributes. Later, numerical simulations showed that the policy successfully chose paths decreasing the network latency and overcoming the counterparts. Keywords : caching; heterogeneous cellular networks; placement; routing. When coverage gaps arise or mission requirements evolve, it becomes imperative to reconfigure the network topology to sustain coverage through the rescheduling of sensor nodes. To minimize the rescheduling costs in hybrid networks, we develop a two-phase hybrid node rescheduling algorithm to achieve strong barrier coverage. The initial phase of our algorithm enables the static sensor nodes to optimize their operational directions, effectively reducing barrier gaps. In the second phase, we strategically reposition mobile sensor nodes to achieve a relatively strong barrier with the least number of nodes and the shortest total movement distance. Simulation results demonstrate that our algorithm outperforms existing methods in terms of efficiency and effectiveness. Monitoring feed pellet utilisation in aquaculture is vital for efficient resource management. Initially, we curate an underwater image dataset, refining it to remove noise, then employ DYNFS for classification. Our approach achieves a However, locating pellets remains challenging due to poor image quality and small object sizes. This framework enhances underwater object detection, offering potential benefits for marine applications and aquaculture management. Akshatha, S. Unlike traditional approaches that highlight the benefits of buffering, this study takes a distinctive perspective by addressing the limitations of buffer usage in IoT communication. The research introduces a context-aware strategy to employ buffers judiciously, considering specific data requirements and network connectivity scenarios. Parameters such as connection setup time, subscription time, mean delay, mean jitter, and bandwidth consumption are evaluated. The findings consistently demonstrate performance degradation after broker reconnection, with more prolonged network failures leading to more significant degradation. The study emphasizes the importance of using buffers wisely, especially for prioritizing critical messages, to ensure reliability and enhance overall MQTT network performance. Zaveri Abstract : We propose a novel Threshold Changeable Secret Image Sharing TCSIS scheme based on univariate and asymmetric bivariate polynomials for securing greyscale and colour secret images in the semi-honest model. The proposed scheme supports increasing the threshold number of shares needed to reveal the secret image using the share update mechanism. Unlike the existing TCSIS schemes, the proposed scheme can prevent the revealing of a secret image before the end of its lifespan. This revelation is possible due to the increasing capabilities of an external adversary and the increasing number of colluding participants. Furthermore, in contrast to some existing TCSIS schemes, each share generated using the proposed scheme does not leak visual information about the secret image. We prove the properties of the proposed scheme using theoretical analysis. We also provide experimental results supporting the implications of theoretical analysis corresponding to the execution time and the randomness of shares. Keywords : image security; secret image; TCSIS; threshold changeable secret image sharing; external adversary; colluding participants; information leakage; univariate polynomial; asymmetric bivariate polynomial. In this research paper an innovative approach based on clustering and digital signature CDS is proposed to prevent black hole attack on reactive routing, i. The proposed approach is implemented and evaluated in SUMO In wireless networks usually handoff call HC s receive higher priority than new call NC s. So, some radio resources may be reserved in each cell to handle HCs. Further, we have made a comparison study of optimal blocking performances applying this OCR policy on different GSM standards. Keywords : global system for mobile communication; handoff call dropping; mobile cellular network; new call blocking; optimal channel. Sivakannu, R. Anju, J. Anandpushparaj, P. Muthuchidambaranathan Abstract : In a cooperative relay network, replacing the relay with an unmanned aerial vehicle UAV offers several advantages. The performance of the proposed system is analysed by deriving the closed form expression for performance metrics like outage probability OP , throughput and bit error rate BER under imperfect successive interference cancellation SIC with selection combining SC diversity technique at the receiver. In addition to that, a Multiple UAV based system model is considered with relay selection algorithms like max-min selection and the variation in the outage probability performance is also studied. The analytical expressions are also validated using Monte Carlo simulation. The results show that the proposed system has better performance even under imperfect SIC and reduces the wastage of resources. In vivo and on-body sensor nodes allow WBANs to detect and gather biometric data on bodily changes. Wireless transmission sends observed data. This information can help patients in critical condition or who cannot reach to hospitals due to physical handicap, traffic, and receive immediate care. Security and privacy are needed for healthcare professionals to use and store patient records securely. It is crucial for WBANs to address privacy and security concerns. E-MAC accelerates and reliably transmits emergency data via an emergency information management system. To address security concerns, the approach is protected using elliptic curve cryptography. Our solution, machine learning model blockchain-based privacy-preserving MBPP , combines Blockchain technology and advanced cryptography to tackle this. MBPP ensures data confidentiality and integrity while improving detection model reliability. It involves securely storing ML models on the blockchain using cryptographic hash functions. Our study meticulously evaluates transactional time and computational costs, vital for smooth blockchain transactions. This research not only presents a conceptual framework for blockchain use in VANETs but also offers insights into managing transactions via smart contracts, addressing VANETs' security and privacy challenges effectively. Keywords : blockchain; smart contract; computational costs; artificial intelligence algorithms; VANETs; vehicular ad-hoc networks; data sharing; privacy preservation; cryptography hash function. Aanandaram , P. Deepalakshmi Abstract : The evolution mobile network highlighted by means of 5G networks, has caused advanced cyber threats necessitating modern security features. The adaptive multi-layer threat defence machine addresses these threats with machine getting to know ML , presenting robust resilience. It surpasses traditional strategies via deploying ML algorithms throughout more than one network layers. Intent prediction IP visually anticipates person purpose, while anomaly detection AD identifies subtle anomalies. The systems centre, decentralised associative learning federated learning , keeps confidentiality and model integrity. This integrated approach provides better protection for 5G networks, creating an adaptive defence via profiling, prediction and anomaly detection. The adaptive multi-layer threat defence system, combining flexibility, privacy, and scalability, ushers in a generation in which ML supports technological development. Keywords : AML-TDS; adaptive multi-layered threat defence system; threat intelligence; anomaly detection; privacy preservation; 5G network security; NBP; network behaviour profiling; cyber threats. Combining the two techniques enhances the user network performance by decreasing the peak rate, optimizing the user memory and decreasing the latency. This paper investigates the benefits of merging coded caching and distributed storage in various multiserver systems. Hence, we propose a new construction called the non-systematic. This approach considers using a multi-server system consisting of only parity servers and encoded linear combinations of popular file segments based on a predefine non-systematic code in the placement and delivery phases making this concept attractive in terms of security. The proposed concept achieves optimized results regarding the peak rate and the user cache memory and tremendously improves the data security compared to other multi-server systems. Keywords : coded caching; cache memory; distributed storage; multi-server system; peak rate; security; systematic code; non-systematic code. These applications require the prompt dissemination of warning messages among vehicles, regardless of traffic conditions or environment. The limited terrestrial coverage in sparsely populated rural regions challenges the timely receipt of warnings during accidents. UAVs can function as flying relays, meeting necessary delay limitations and overcoming communication problems. This paper extends that work by integrating UAVs in rural and urban environments. Our approach includes determining the minimal residual UAV energy needed to connect to a charging station, ensuring continuous UAV operation. This extended framework ensures all vehicles on a 25 km urban highway receive alerts within 1. Two strategies for parallelising the Gauss-Seidel iterative scheme in the circuit-switching networks model are deployed and evaluated on both shared memory multiprocessor systems and networks of shared memory multiprocessor machines. The first strategy involves modifying the Gauss-Seidel iterative scheme, while the second employs a colouring technique for components in red and black. An activation message-based termination method is introduced for asynchronous iterations on networks of shared memory multiprocessor machines. Additionally, a novel parallel iterative method for general Markovian systems is proposed and evaluated for both synchronous and asynchronous implementations. This method distributes computational workload differently from the conventional approach used in circuit switching networks. Keywords : Markovian systems; asynchronous iterations; synchronous iterations; termination algorithms; shared memory multiprocessor; network of shared memory multiprocessor; relaxation method; over-relaxation method; parallel alternate components relaxation method. SMEs in developing nations face challenges such as inadequate technological infrastructure, limited organizational resources, and external support. The analysis supported seven of the proposed hypotheses, demonstrating positive impacts of TOE drivers on IoT adoption intentions, except for cost. Limitations include the restricted scope of data collection and the omission of pre-adoption phases. This research provides valuable insights into how IoT can strategically benefit manufacturing SMEs in Pakistan, offering guidance for policymakers, researchers, and practitioners. Recommendations include the need for SMEDA and the Pakistani government to improve technology adoption processes and implementation at the global level.

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