Journal of High Speed Networks - Volume 30, issue 3

Authors: Elmahi, M.Y. | Osman, N.I.M.

Article Type: Research Article

Abstract: Routing protocols for Internet of Things (IoT) play a major role in the performance of the network. The standard Routing Protocol for Low-Power and Lossy Networks (RPL) suffers from a number of limitations including congestion of higher-level nodes and unbalanced topology. This paper proposes a novel Objective Function called Load Balanced Minimum Rank with Hysteresis Objective Function (LB_MRHOF), which assigns child nodes to the most suitable parent in the topology. The Objective Function utilizes a weight of the Expected Transmission Count (ETX) and number of children to calculate the Composite ETX and Number of Children (CENOC) which estimates the load …on each node. The attained CENOC is used to select the optimum parent for each node in the topology, where nodes with high CENOC are avoided in the parent selection process. The proposed Objective Function has been evaluated under random and hierarchical network topologies. In addition, the evaluation has investigated the influence of the number of nodes by testing for small, medium and large-scale networks. Results have shown that the proposed Objective Function outperforms MRHOF, OF_FUZZY and OF-EC in terms of Packet Delivery Ratio (PDR) and reduces nodal hop-count under all tested scenarios, with no compromise in energy consumption. They have also revealed that the best performance achieved by LB_MRHOF is attained under large-scale networks. The resulting network topology which is formed by the proposed Objective Function has shown improved balance and more depth. Show more

Keywords: Internet of Things, RPL, Objective Function, Load Balance, ETX

DOI: 10.3233/JHS-230026

Citation: Journal of High Speed Networks, vol. 30, no. 3, pp. 297-319, 2024

Authors: Oh, SangYeob | Park, ChulHo

Article Type: Research Article

Abstract: IP mobility support is based on terminal behavior, recognizing mobility and maintaining a continuous communication session. The existing mobile IP location registration sends a message to one or more routers during a handoff within a domain by using a multicast address to process messages continuously. This implementation requires persistent message processing among all routers to determine new multicast address assignments. To solve this problem, we propose a method that enables the mobile user to obtain a QoS guarantee when the mobile device moves to an overlapping area under the mobile IP. Therefore, dynamic mobility management includes location updates under …the mobile IP, and transmission of packets from the expected access points. When a handoff occurs while the mobile device is connected, the mobile host dynamically adapts to the mobility characteristics of the mobile node and transmits missed packets. In addition, by first using a location router, handoff latency reduction and packet loss requirements between domains in the overlapping mobile network environment are resolved. Second, the proposed algorithm has low-control traffic in the mobile network, allowing quick handoffs. Although instantaneous throughput is reduced during handoffs, tunneling is reduced by 10-30%, even after a handoff, by retransmitting packets missed by the mobile host, while location-registration-update times are reduced by 20-80%. Show more

Keywords: Mobile IP, Session Initiation Protocol, multimedia communication, QoS, Home Agent, Call-to-Mobility Ratio, mobility management, Location Registration Management

DOI: 10.3233/JHS-222035

Citation: Journal of High Speed Networks, vol. 30, no. 3, pp. 321-331, 2024

Authors: Sonam, | Johari, Rahul | Garg, Sanya | Bawa, Prabhnoor | Aggarwal, Deeksha

Article Type: Research Article

Abstract: The applications of IoT have increased manyfold owing to the declining prices of electronic devices and the growing internet. This study discusses at length the various characteristics, applications, merits, demerits, and problems associated with IoT. The current research work showcases the design and development of application coined as MIAWM : M QTT based I oT A pplication for W eather M onitoring. The application describes how the MQTT protocol can easily be used to perform efficient routing in IoT. The Application describes how to create a simulation for the MQTT Publisher Subscriber model which provides desired weather data to a …remote subscriber anywhere in the world. The dataset used contains information about the temperature, precipitation, and wind speed in Berlin and Germany. This paper puts the various quality of service to experiment by comparing the time taken to service the request. Show more

Keywords: IoT, MQTT, routing, publisher, subscriber, attack, broker

DOI: 10.3233/JHS-230008

Citation: Journal of High Speed Networks, vol. 30, no. 3, pp. 333-354, 2024

Authors: Gollagi, Shantappa G. | Maheswari, S.S. | Sapkale, Pallavi V. | Poojitha, Sabbineni

Article Type: Research Article

Abstract: Channel estimation is crucial for massive multiple-input multiple-output (MIMO) systems to scale up multi-user (MU) MIMO, providing great improvement in spectral and energy efficiency. The nature of non-orthogonal cause pilot contamination is experienced only while estimating multi-cell MIMO scheme with the training and it is misplaced while narrowing concentration to multi-cell or one-cell setting, where information of the channel is assumed to be obtainable at no cost. Non-orthogonal multiple access (NOMA) serves numerous users concurrently utilizing channel gain differences. The advancement in massive MIMO-NOMA technology has offered diverse techniques recently for reducing pilot contamination in massive MIMO-NOMA based on pilot …allocation. Here, a new approach called War Strategy Chimp Optimization+Deep Neuro-Fuzzy Network (WSChO+DNFN) is designed for the estimation of channels to reduce pilot contamination in a massive MIMO-NOMA system. It takes place in two phases, the transmitter and the receiver phase. The channel estimation is conducted by DNFN that is tuned by devised WSChO. Furthermore, WSChO is an amalgamation of War Strategy Optimization (WSO) and Chimp Optimization Algorithm (ChOA). Additionally, the WSChO+DNFN attained minimal values of BER and normalized MSE of 0.000103 and 0.000074, respectively. The proposed method has achieved a performance gain of 44.39%, 19.26%, 9.17%, 5.22%, 9.92%, and 6.03% compared to the Orthogonal Frequency Division Multiplexing (OFDM), Group Successive Interference Cancellation assisted Semi-Blind Channel Estimation Scheme (GSIC_SBCE), Sector-Based Pilot Assignment Scheme (PAS), Convolutional Neural Network (CNN), User Segregation based Channel Estimation (USCE), Optimal Channel Estimation using Hybrid Machine Learning (OCE_HML), respectively. Show more

Keywords: Massive multiple-input multiple-output, War Strategy Optimization (WSO), non-orthogonal multiple access, Chimp Optimization Algorithm (ChOA), Deep Neuro-fuzzy network (DNFN)

DOI: 10.3233/JHS-230043

Citation: Journal of High Speed Networks, vol. 30, no. 3, pp. 355-373, 2024

Authors: Sawant, Surabhi Sushant | Helonde, Jagdish B. | Burade, Prakash G.

Article Type: Research Article

Abstract: Localization of WSN sensor nodes gains significance in order to grasp the idea for dead node replacement and re-establishing the network from data loss. In this research, the node localization and the position estimation of the dead nodes during routing are more effectively identified by the Felis bee localization protocol. The node localization is significant for effective communication and data transfer throughout the network with high signal strength. The developed approach assists in identifying the dead nodes and replaces them with less localization error thus, the signal strength of the receiver side is maximum. By utilizing the information on the …exact position of the anchor nodes, the unknown location of the dead nodes is estimated by the Felis bee localization protocol. The Felis bee localization protocol enhances the potential of node localization concerning the energy, localization error, and multi-objective function, and attains the minimum RMSE as 0.566 at the 25th round, maximum RSSI as −47.925 dBm as well as the Energy at round 25 as 0.6517 J and the Throughput as 0.2952bps over the simulation area of 10 × 100. Further the established localization reaches the minimum RMSE as 0.673, the maximum Energy as 0.5141 J, maximum throughput as 0.5682,and the maximum RSSI as −53.911 dBm, at the 50th round over simulation area 200 × 200 and surpasses other conventional localization techniques. Show more

Keywords: Wireless Sensor Networks, node localization, Felis bee optimization, signal strength, position estimation

DOI: 10.3233/JHS-230131

Citation: Journal of High Speed Networks, vol. 30, no. 3, pp. 375-408, 2024

Authors: Neelakantan, Puligundla | Gangappa, Malige | Rajasekar, Mummalaneni | Sunil Kumar, Talluri | Suresh Reddy, Gali

Article Type: Research Article

Abstract: This study presents a novel approach to optimize resource allocation, aiming to boost the efficiency of content distribution in Internet of Things (IoT) edge cloud computing environments. The proposed method termed the Caching-based Deep Q-Network (CbDQN) framework, dynamically allocates computational and storage resources across edge devices and cloud servers. Despite its need for increased storage capacity, the high cost of edge computing, and the inherent limitations of wireless networks connecting edge devices, the CbDQN strategy addresses these challenges. By considering constraints such as limited bandwidth and potential latency issues, it ensures efficient data transfer without compromising performance. The method focuses …on mitigating inefficient resource usage, particularly crucial in cloud-based edge computing environments where resource costs are usage-based. To overcome these issues, the CbDQN method efficiently distributes limited resources, optimizing efficiency, minimizing costs, and enhancing overall performance. The approach improves content delivery, reduces latency, and minimizes network congestion. The simulation results substantiate the efficacy of the suggested method in optimizing resource utilization and enhancing system performance, showcasing its potential to address challenges associated with content spreading in IoT edge cloud calculating situations. Our proposed approach evaluated metrics achieves high values of Accuracy is 99.85%, Precision at 99.85%, specificity is 99.82%, sensitivity is 99.82%, F-score is 99.82% and AUC is 99.82%. Show more

Keywords: Cloud computing, resource allocation, Internet of things, deep Q network, reinforcement Learning

DOI: 10.3233/JHS-230165

Citation: Journal of High Speed Networks, vol. 30, no. 3, pp. 409-426, 2024

Authors: Kabra, Preeti | Rani, D. Sudha

Article Type: Research Article

Abstract: This manuscript proposes a hybrid technique for determining the optimal positioning of phasor measurement units (PMUs) in power systems. The PMUs play a crucial role in power system control, wide-area monitoring, and protection. The proposed hybrid method is the joint execution of the Lichtenberg algorithm (LA) and the heap-based optimization (HBO) technique. Hence, it is named the LA-HBO technique. The objective of the proposed method is to place the PMUs in the power system for observability. The goal is to enhance the efficiency and accuracy of PMU placement, ensuring optimal positioning for improved grid monitoring capabilities. The Lichtenberg Algorithm (LA) …enhances PMU placement by addressing system observability challenges and ensuring that selected locations provide comprehensive coverage of the power grid. The heap-based approach optimizes PMU placement by efficiently managing the selection process, considering factors like computational efficiency and scalability. The proposed hybrid technique is implemented in IEEE-30 and -14 bus systems. The MATLAB-based simulation results are compared with the various existing methods, such as Sea Lion Optimization (SLO), Particle Swarm Optimization (PSO), and Ant Bee Colony Optimization (ABC). By then, the outcome reveals the efficacy of the proposed method for defining the optimum PMU locations. The proposed method shows a low computational time of 0.02348 sec for the IEEE-14 bus, and 0.03565 sec for the IEEE-30 bus compared with other existing methods. Show more

Keywords: Wide area monitoring system (WAMS), phasor measurement unit, ideal location, synchrophasor technology, bus, test systems

DOI: 10.3233/JHS-230170

Citation: Journal of High Speed Networks, vol. 30, no. 3, pp. 427-443, 2024

Authors: Ding, Hangchao | Tang, Huayun | Jia, Chen | Wang, Yanzhao

Article Type: Research Article

Abstract: Bi-deniable Encryption scheme means that when the sender and the receiver are coerced, the coercer can obtain fake plaintext, random numbers, and secret keys. It’s a solution strategy in the case of information leakage. Compared with traditional encryption, deniable encryption can provide secret communications in situations of coercion in the Post-Quantum era. Compared with sender-deniable encryption and receiver-deniable encryption, bi-deniable encryption can achieve secret communications in the situation that both sender and receiver are coerced by the coercer. So, we propose to design a bi-deniable encryption scheme under the multi-distribution model. In our bi-deniable encryption scheme, we construct a …bi-deniable encryption scheme based on the assumption of Decision-Learning With Errors (DLWE) under the multi-distribution model. Firstly, the principle of Inner Product Predicate Encryption (IPPE) is applied in our scheme. Secondly, we apply the framework of Bi-Translucent Set (BTS), combined with inner product predicate encryption. Thirdly, we construct a series of probabilistic polynomial time algorithms, which apply linear transformation between different lattice structures, and Regev dual encryption. Fourthly, the statistical indistinguishability between the sampling algorithm with discrete Gaussian sampling algorithm, and the computational indistinguishability between LWE’s ciphertext samples with uniform samples, the property of indistinguishability is applied in theorem proving, which obtain Indistinguishability under Chosen Plaintext Attacks (IND-CPA) security and the property of bi-deniability. Given the value range of the Gaussian parameter and security parameter in our scheme, the correctness of the bi-deniable encryption scheme is guaranteed. We also give the security proof of IND-CPA and bi-deniability’s property by a series of games. The ‘Inner-Product Bi-Translucent Set’ Bi-Deniable Encryption scheme under the multi-distribution model is based on Decision-LWE assumption, and can avoid quantum-resistant attacks. The bi-deniable encryption scheme is firstly constructed by the inner product with the Decision-LWE assumption, which can provide better properties of security and deniability. Show more

Keywords: Multi-distribution model, bi-deniable encryption, Decision-LWE, inner product, Bi-Translucent Set, post-quantum cryptography

DOI: 10.3233/JHS-230181

Citation: Journal of High Speed Networks, vol. 30, no. 3, pp. 445-459, 2024

Authors: Wang, Junchi | Xiao, Hong | Jiang, Wenchao | Li, Ping | Li, Zelin | Wang, Tao

Article Type: Research Article

Abstract: In the actual industrial application of robots, the characteristics of robot malfunctions change accordingly as the working environment becomes increasingly diverse and complex. Utilizing the original fault diagnosis models in new working environments correspondingly leads to a decline in the performance and the generalization capability of the model. Moreover, the monitoring data collected in new working processes often has limited or no labels, making the diagnosis models trained with this data unable to identify faults accurately. In this paper, we propose a Domain adaptive Cross-process Fault Diagnosis method (DCFD) to leverage knowledge from existing working processes for diagnosing faults in …new working processes. DCFD uses Multi-Kernel Maximum Mean Discrepancy (MK-MMD) to measure the difference between the current working processes and the previous working processes, enhancing the fault diagnosis capability of the robotic system in cross-process scenarios. DCFD achieves an average fault classification accuracy of 98% on 12 types of migration tasks, which demonstrates the effectiveness of DCFD on cross-process fault diagnosis classification tasks in real-time industrial application scenarios. Show more

Keywords: Industrial robots, fault diagnosis, transfer learning, domain adaptation

DOI: 10.3233/JHS-230235

Citation: Journal of High Speed Networks, vol. 30, no. 3, pp. 461-475, 2024

Authors: Sharma, Aishita | Singh, Sunil K. | Kumar, Sudhakar | Thakur, Ruchika | Gupta, Brij B. | Arya, Varsha

Article Type: Research Article

Abstract: Due to increasing advancements in the field of technology the agricultural sector is experiencing a drastic change, this paradigm shift is the result of integrating technologies like Industry 5.0, Society 5.0, Internet of Things (IoT), Artificial Intelligence (AI), and Remote Sensing. The integration of these technologies helps in multiple aspects such as IoT sensors help in real-time data monitoring which includes parameters such as soil conditions, meteorological aspects„the valuable insights about overall crop health, and also help in promoting informed decision-making in agriculture. Cognitive systems of Industry 5.0, revolutionize manufacturing processes, enabling predictive maintenance, real-time data analyses, and autonomous decision-making …for increased production efficiency. Implementing digital twin technology further boosts this transformation process by creating dynamic representations of agricultural systems. Digital twins simplify complex interactions for farmers by integrating data obtained from diverse sources. This paper explores the relationship between Industry 5.0, smart farming practices, implementation of the latest techniques like IoT, and digital twins, understanding their impact on precision agriculture, sustainable farming, and efficiency. In conclusion, this study demonstrates how Industry 5.0 technologies, including digital twin technology, possess the potential to revolutionize agricultural operations, enhance crop yields, foster sustainability, and prepare agriculture for the challenges of a rapidly changing global environment. Show more

Keywords: Smart farming, Industry 5.0, cognitive and intelligent systems, Internet of Things (IoT), precision agriculture, digital twin technology

DOI: 10.3233/JHS-230258

Citation: Journal of High Speed Networks, vol. 30, no. 3, pp. 477-496, 2024