Stable Routing Research Articles

RETRACTION: Data Location Integration With Stable Routing: Stable and Optimal Data Transmission in Wireless Sensor Networks

RETRACTION: A. Gayathri, D. Ruby, N. Manikandan, T. Gopalakrishnan, K. Anusha, and P. Narayanasamy, “,” Trans Emerg Telecommun Technol (Early View): doi:10.1002/ett.4627.The above article, published online on 22 August 2022 in Wiley Online Library (wileyonlinelibrary.com), has been retracted by agreement between the journal Editor‐in‐Chief, Changqiao Xu; and John Wiley & Sons Ltd. The article was submitted as part of a guest‐edited special issue. Following publication, it has come to the attention of the journal that the article was accepted solely on the basis of compromised editorial handling and peer review processes. Furthermore, parts of the experimental methods in this manuscript lack sufficient detail to interpret and reproduce the findings. Therefore, the decision to retract this article was taken. The authors have been informed of the retraction and Dr. Ruby, on behalf of the authors, disagrees with this decision.

Improved Cell Allocation Strategies Using K-Means Clustering in Congested 6TiSCH Environments.

The 6TiSCH protocol (IEEE 802.15.4e) is crucial for the Industrial Internet of Things (IIoT), utilizing a time-slotted channel hopping (TSCH) mode based on node distribution. In this study, we propose an innovative cell allocation strategy based on node position clustering using the K-means algorithm, specifically designed to address congestion and optimize resource distribution in the 6TiSCH network. Our mechanism effectively groups nodes into clusters, allowing for dynamic adjustment of cell capacities in congested areas by analyzing traffic patterns and the spatial distribution of nodes. This clustering approach enhances the efficiency of slot frame utilization and minimizes communication delays by reducing interference and improving routing stability. The proposed strategy leverages the clustering results to improve cell usage efficiency and reduce communication latency between nodes. By tailoring cell allocation to the specific traffic needs of each cluster, we significantly reduce packet loss, manage congestion more effectively, and enhance data transmission reliability. We evaluated the clustering method using the K-means algorithm through experiments with the 6TiSCH simulator. Additionally, we considered using objective functions in Routing Protocol for Low-Power and Lossy Networks (RPL), such as OF0 and MRHOF, to assess clustering results and their impact on throughput and packet delivery. Our method resulted in significantly improved average performance metrics. Under the OF0 routing protocol, we achieved a 30.01% latency reduction, a 15.95% faster joining time, an 8% higher packet delivery ratio, and a 13.82% throughput increase. Similarly, we observed a 12.34% improvement in packet delivery ratio, 21.06% latency reduction, 12.68% faster joining time, and 25.97% higher throughput speed with the MRHOF routing protocol. These findings highlight the effectiveness of the improved cell allocation strategy in congested 6TiSCH environments, offering a better solution for enhancing network performance in IIoT applications.

Long-term stability of sediment routing on an active continental margin: Insights from detrital zircon U-Pb ages and measured stratigraphy of Carboniferous to Miocene strata, Sierra de Narváez, NW Argentina

The complex Phanerozoic tectonic evolution of the western margin of South America, including extensional, neutral, and contractional deformation regimes, provides an opportunity to test how sedimentary systems were affected by variable tectonics on a long-lived active margin. Here, we report new geologic mapping, measured stratigraphic sections, paleocurrent measurements, and detrital zircon U-Pb ages from the Fiambalá area, NW Argentina, that together constrain the evolution of sediment routing and basin systems of the northern Sierras Pampeanas during Carboniferous to Miocene time. Carboniferous to Triassic strata of the Paganzo Group include fluvial, lacustrine, and eolian intervals deposited in an extensional setting with SSW-directed paleocurrent orientations. The Mesozoic El Pedernal Formation consists of a lower, basalt interval and an upper, conglomerate and sandstone interval, which has a new detrital zircon maximum depositional age of ca. 88 Ma. Observed strata of the Miocene Tambería Formation include fluvial to eolian sandstones of the lower member of the formation and alluvial conglomerates of the middle member. Whereas lower member Tambería fluvial strata have SSW-oriented paleocurrents, middle member conglomerates indicate broadly E-directed paleoflow.Detrital zircon age distributions of the Paganzo Group, El Pedernal Formation, and Tambería Formation are remarkably consistent, with dominant age peaks ca. 1.3–0.9 Ga and ca. 660-450 Ma. The ages and relative magnitudes of these peaks are consistent with derivation from igneous sources associated with Choiyoi magmatism (330-215 Ma), the Famatinian (490-450 Ma) and Pampean (540-510 Ma) orogens, basement of the MARA block (ca. 1.3–0.9 Ga), and recycling of Neoproterozoic to Cambrian sedimentary successions derived from central Gondwana (ca. 1.3–0.9 Ga, 650-590 Ma, 540-510 Ma).The consistent paleocurrent orientations and detrital zircon U-Pb ages of the Carboniferous Paganzo Group to the Miocene lower member of the Tambería Formation suggest that a S-directed axial drainage network with a consistent sediment source area persisted in the region for ∼300 Myr. This axial drainage network was succeeded by an E-directed transverse drainage network initiated between 15 Ma and 8 Ma due to growth of the Andean thrust wedge, coeval with tectonic compartmentalization and drainage modification of nearby foreland depocenters. These findings highlight the potential for long-term persistence of drainage networks on continental margins under changing tectonic regimes.

Hierarchical carbon nanotube-decorated polyacrylonitrile smart textiles for wearable biomonitoring

Respiration monitoring enables continuous assessment of physiological status and potential diseases. We reported a polyacrylonitrile/carbon nanotubes/latex composite membrane (PCM) capable of converting exhalation into a distinct current signal for respiratory rate and depth detection. The latex encapsulation design of respiratory sensor screens moist and thermal fluctuation of respiration and enables an accurate and reliable monitoring of exhaled gas flow. By modulating the compositional ratio, topological characters of interdigital electrode and aperture area, a rapid response time of 192 ms and recovery time of 104 ms, together with great fidelity and reliability were attained for discriminating breathing depth and rate. Combining with machine learning, versatile breathing patterns can be effectively discerned, achieving effective prognosis of respiratory diseases like diabetes, wheezing and obstructive sleep apnoea syndrome. This work endows a low-cost, efficient and stable route for sustainable wearable physiological assessment and disease recognition.

Stable route selection for adaptive packet transmission in 5G-based mobile communications

ABSTRACT The poor connectivity among mobile nodes introduces uncertainty in packet loss as the path link is not measured in this network. The focus is placed on communication cost to achieve valid packet transmission. Because the high-distance path selected for packet transmission incurs higher communication costs, it increases energy consumption and packet loss rate. So, the proposed dispersed path selection for communication (DPAC) method is constructed to obtain the best minimum distance routing path. This path operates with the help of queue variation is handled the data packets maintenance, and the time slot exceeds its limit. Packets are kept waiting to increase the packet broadcasting efficiency. A multipath jamming detection algorithm is constructed to provide a link-based path packet overload detection scheme to identify the packet overload. It also separates the path based on its characteristics to control overload. It reduces energy consumption and packet loss rate.

A constructive delay-aware model for opportunistic routing protocol in MANET

Mobile ad-hoc Networks (MANET) with mobile sinks are measured as a practical substitute to the complex deployment of conventional wireless sensing environments. This research concentrates on the high-throughput opportunistic routing with lower delay during the transmission service by the mobile nodes with an arbitrary number of mobile sinks and common network topology. Here a novel opportunistic routing (OR) model known as Delay-Aware Estimated Transmission Rate (DA-ETR) is proposed to evaluate the delay caused due to the intermittent mobile nodes and packet re-transmission process. With the execution of DA-ETR, the work demonstrates the functionality of DA-ETR seamlessly over the ETR. It specifies that the available ETR-based routing protocols for dynamic MANET are extended easily to MANET with minimum modification using the anticipated DA-ETR model. Also, the anticipated DA-ETR model with efficiency measure provides superior throughput and enhances the routing stability of OR. The novelty of the work relies on enhancing the routing performance. Thus, the proposed DA-ETR model seems lightweight and achieves easier deployment with no constant mobility prediction. The DA-ETR model for OR outperforms various existing approaches and shows better performance by achieving scalability, reliability, reduced routing and communication overhead and transmission delay. The proposed model shows a queue length of 6.5 packets, 6.3 packets/node/sec in transmission and reception rate, the delay is 50 ms, storage overhead is 80 packets, communication overhead is 20 packets and 2.5 ms packet loss. The simulation is done in the MATLAB 2020a environment.

Distributed MA‐IDDPG‐OLSR based stable routing protocol for unmanned aerial vehicle ad‐hoc network

AbstractIn unmanned aerial vehicle ad‐hoc network (UANET), the node speed of unmanned aerial vehicles (UAVs) may reach up to 400 km/h. The fast or slow movement of UAV nodes leads to different speeds of topology change of the nodes. Traditional optimized link state routing (OLSR) protocol cannot adaptively adjust the routing update period when the network topology changes, which may lead to the nodes calculating incorrect routing tables. This increases the average end‐to‐end delay and packet loss rate for packet transmission. To enhance the adaptability of OLSR routing protocol to network topology changes, this paper proposes a multi‐agent independent deep deterministic policy gradient‐OLSR (MA‐IDDPG‐OLSR) routing protocol based on distributed multi‐agent reinforcement learning. The protocol deploys DDPG algorithm on each UAV node, and each UAV node adaptively adjusts the Hello and TC message sending intervals, according to the one‐hop neighbouring nodes as well as its own state. Simulation results show that the proposed protocol is able to improve the throughput and reduce the packet loss rate as compared to traditional AODV, GRP, OLSR, and distributed multiple‐agent independent proximal policy optimization‐OLSR (MA‐IPPO‐OLSR), distributed multiple‐agent independent twin delayed deep deterministic policy gradient‐OLSR (MA‐ITD3‐OLSR) routing protocols. Since MA‐IDDPG‐OLSR relies only on local information, there is a minor performance degradation in MA‐IDDPG‐OLSR compared to centralized single‐agent DQN‐OLSR routing protocol. But it is more suitable to a completely distributed UAV network without a centralized node.

Physical interpretation on development and validation of the reaction routes of complex chemical kinetic model

Simulating the complexity in its entirety proves highly challenging, to examine both the local and global stability of the model, as well as its positivity, recognizing the overall instability. To address this challenge, a strategy of splitting down the multi-route complex reactions into its independent sub-routes is employed. For the validation of sub-routes, the stability and positivity of each individual route were comprehensively analyzed. In addition, we employ techniques to simplify our models by considering factors such as reaction speed and thermodynamic properties, ensuring their accuracy. Furthermore, we integrate the Spectral Quasi-Equilibrium Manifold to obtain a deeper understanding of the sequential advancement of reactions, focusing on the slowest eigenvector. A comprehensive examination of the mathematical underpinnings of these reaction steps and diverse pathways is conducted. We also investigate the temporal behavior of these pathways, yielding fresh perspectives. Our findings suggest the feasibility of independently evaluating each pathway rather than treating the entire mechanism as a singular entity. To enhance our analysis, we conduct a local sensitivity assessment using the SimBiology toolbox in MATLAB of each route and compare calculation periods for TRM (Total Relative Motion). Furthermore, we employ the short-time Fourier transform graph to capture time–frequency information regarding the steady state of compounds in various routes, revealing spectral variations over time.

Optoelectronic-aided machine learning-based stable routing protocol for MANET and beyond massive MIMO systems in 5G networks

Optoelectronic-aided machine learning-based stable routing protocol for MANET and beyond massive MIMO systems in 5G networks

Retracted: Enhancing Vehicular Ad Hoc Networks’ Dynamic Behavior by Integrating Game Theory and Machine Learning Techniques for Reliable and Stable Routing

Retracted: Enhancing Vehicular Ad Hoc Networks’ Dynamic Behavior by Integrating Game Theory and Machine Learning Techniques for Reliable and Stable Routing

An integrated framework for UAV-based precision plant protection in complex terrain: the ACHAGA solution for multi-tea fields.

UAV-based plant protection represents an efficient, energy-saving agricultural technology with significant potential to enhance tea production. However, the complex terrain of hilly and mountainous tea fields, coupled with the limited endurance of UAVs, presents substantial challenges for efficient route planning. This study introduces a novel methodological framework for UAV-based precision plant protection across multiple tea fields, addressing the difficulties in planning the shortest routes and optimal flights for UAVs constrained by their endurance. The framework employs a hyperbolic genetic annealing algorithm (ACHAGA) to optimize UAV plant protection routes with the objectives of minimizing flight distance, reducing the number of turns, and enhancing route stability. The method involves two primary steps: cluster partitioning and sortie allocation for multiple tea fields based on UAV range capabilities, followed by refining the UAV's flight path using a combination of hyperbolic genetic and simulated annealing algorithms with an adaptive temperature control mechanism. Simulation experiments and UAV route validation tests confirm the effectiveness of ACHAGA. The algorithm consistently identified optimal solutions within an average of 40 iterations, demonstrating robust global search capabilities and stability. It achieved an average reduction of 45.75 iterations and 1811.93 meters in the optimal route, with lower variation coefficients and extreme deviations across repeated simulations. ACHAGA significantly outperforms these algorithms, GA, GA-ACO, AFSA and BSO, which are also heuristic search strategies, in the multi-tea field route scheduling problem, reducing the optimal routes by 4904.82 m, 926.07 m, 3803.96 m and 800.11 m, respectively. Field tests revealed that ACHAGA reduced actual flight routes by 791.9 meters and 359.6 meters compared to manual and brainstorming-based planning methods, respectively. Additionally, the algorithm reduced flight scheduling distance and the number of turns by 11 compared to manual planning. This study provides a theoretical and technical foundation for managing large-scale tea plantations in challenging landscapes and serves as a reference for UAV precision operation planning in complex environments.

Construction of superhydrophobic surfaces with different water adhesion on the low-temperature steels by picosecond laser processing

Manufacturing superhydrophobic metallic surfaces with desired water adhesion for intended applications such as anti-icing and microdroplets transportation remains a grand challenge. Herein, we demonstrated the fabrication of the superhydrophobic surfaces with different water adhesion on the low-temperature steels including DH36, EH40 and FH36 steels via combined strategies of picosecond laser processing and room-temperature vacuum processing. The laser processing could regulate the dimension of the micro/nanostructures on the low-temperature steel surfaces and the vacuum processing controlled the surface chemical compositions of the laser-processed surfaces, leading to the transition of wetting behaviors from the superhydrophilic states, then to the superhydrophobic Wenzel's states with strong water adhesion and finally to the superhydrophobic Cassie-Baxter's states with weak water adhesion. The superhydrophobic surfaces with the Wenzel's states showed great potential in non-destructive and selective transportation of water droplets, while those with the Cassie-Baxter's states exhibited promising anti-icing performance as well as desirable corrosion, impact, and erosion resistance. This work provides an effective, pollution-free, and stable route for controlling the superwettability of the low-temperature steel surfaces and could find promising applications in surface modifications of metals and alloys.

STABILITY OF ROAD ROUTES IN THE MOSCOW UYEZD IN THE 17TH - FIRST THIRD OF THE 18TH CENTURY

The article examines a little-studied problem in the period of formation of the system of overland roads in the central part of the Russian state. The purpose of the study is to find out how stable were the road routes in the southern (Zaretskaya) part of the Moscow uyezd in the 17th and the first third of the 18th century. This choice is explained by the fact that the roads in the southern part of the uyezd, separated from its northern (Zamoskovnaya) part by the Moskva river, were a unified complex of communications. The research was based on the cadasters of 1627-1629, Moscow uyezd’s maps of the second half of the 17th century, as well as land surveyor’s plans in the 1720s from the map collection of J.-N. Delisle. The study included identification of settlements indicated on the early 18th-century maps and plans of the second half of the 17th century, a comparison of identified settlements, and search for settlements from the cadasters of 1627-1629 on the basis of comparisons of maps and plans (in some cases, the settlements in the cadasters have references to roads that serve as landmarks). The author concludes that five major roads in southern Moscow suburbs, New Mozhaisk, Zvenigorod, Borovsk, Kashira and Kamensk roads, were formed up to the mid-17th century and kept their importance throughout the 18th century. They were postal highways, “federal highways” of that time. It is impossible to draw a conclusion about the route stability of country roads on the basis of the analyzed sources. The data of cadasters of 1627-1629 allows to confirm that at least three out of five roads (Borovsk, Kamensk and Kashira) existed not only in the second, but also in the first half of the 17th century. The absence of the Zvenigorod road in the Zaretskaya part of the uyezd in the cadasters does not mean that it did not exist in the first third of the17th century. Most likely the scribe simply did not indicate it as a landmark.

Wheel/rail-force–based maintenance interval extension of the C80 series wagon

PurposeThis study aims to introduce the achievements and benefits of applying wheel/rail-force–based maintenance interval extension of the C80 series wagon in China.Design/methodology/approachChinese wagons' existing maintenance strategy had left a certain safety margin for the characteristics of widely running range, unstable service environment and submission to transportation organization requirements. To reduce maintenance costs, China railway (CR) has attempted to extend the maintenance interval since 2020. The maintenance cycle of C80 series heavy haul wagons is extended by three months (no stable routing) or 50,000 km (regular routing). However, in the meantime, the alarming rate of the running state, a key index to reflect the severe degree of hunting stability, by the train performance detection system (TPDS) for the C80 series heavy haul wagons has increased significantly.FindingsThe present paper addresses a big data statistical way to evaluate the risk of allowing the C80 series heavy haul wagons to remain in operation longer than stipulated by the maintenance interval initial set. Through the maintenance and wayside-detector data, which is divided into three stages, the extension period (three months), the current maintenance period and the previous maintenance period, this method reveals the alarming rate of hunting was correlated with maintenance interval. The maintainability of wagons will be achieved by utilizing wagon performance degradation modeling with the state of the wheelset and the often-contact side bearing. This paper also proposes a statistical model to return to the average safety level of the previous maintenance period's baseline through correct alarming thresholds for unplanned corrective maintenance.Originality/valueThe paper proposes an approach to reduce safety risk due to maintenance interval extension by effective maintenance program. The results are expected to help the railway company make the optimal solution to balance safety and the economy.

Improved junction-based routing for VANETs using a Bio-inspired route stability approach

The Junction-Based Routing (JBR) is established as the adequate solution to data packet routing within an urban Vehicular Ad Hoc Network (VANET). The latter is characterized by radio obstacles, unreadable traffic density change, and unstable vehicular mobility speed. Existing JBR routing protocols have not defined specific evaluation mechanisms to anticipate and detect stable road segments in large urban areas yet. Consequently, the connectivity of selected streets for data forwarding may not be regularly reliable for long periods, especially for remote destinations. As a matter of fact, stable long-lifespan JBR paths cannot be discovered; hence, generating low Packet Delivery Ratio (PDR) performances. In this paper, we introduce swarm-inspired optimization as a novel solution to reduce the number of lost data packets on the basis of a new route stability notion. A bio-inspired metaheuristic technique named the Intelligent Water Drops (IWD) algorithm is applied to track reactively and proactively the routing consistency of road segments. IWD seeks to gather accurately unreachable road segments’ up-to-date connectivity information in order to predict progressively their stability degree. The latter is deduced according to predefined routing parameters featuring the history of route traffic and data forwarding, and vehicles’ speed. These parameters are utilized to trace direct JBR paths to data packets’ destinations with minimum disconnected road segments following IWD-inspired Dijkstra JBR paths. The proposed bio-inspired JBR protocol is compared to a few notable JBR schemes in a city map scenario. The simulation results showed a consistent mean PDR progress between 2.55% and 33.47% of all tested simulation variants.

Efficient Distance and Connectivity Based Traffic Density Stable Routing Protocol for Vehicular Ad Hoc Networks

Vehicle ad-hoc networks (VANETs) have become a prominent research topic in recent years due to rapid dynamic topology, high vehicle mobility, frequent link failures and significant delay constraints. The mobility of the vehicle nodes increases, and the overhead of control traffic due to the high dynamics of the VANET. Efficient routing algorithms are necessary for VANETs to ensure reliable transmission (VANETs). This work proposes a Traffic Density Stable Routing Protocol based on Connection- and Distance (TDSRP-DC) to avoid data packet collisions at intersections and an adaptive routing schedule based on the selection at every instant. Our approach is based on vehicle-to-vehicle communication. Ground vehicles identify the most appropriate next junction and transfer the data packet to the receiver to find the optimal multi-hop route. It relies on transferring the data between all vehicles to estimate real-time traffic fluctuations sporadically. Network formation, neighbor realization, fitness value prediction, and routing methodology are the conceptual process needed in this research. Valid parameters for finding the optimum path in the conceptual model include node distance, node speed, node azimuth, link stability, and link reliability. The suggested solution’s simulation was performed in comparison to traditional algorithms. Compared to existing TFOR algorithms on complex traffic, the proposed TDSRP-DC provides tremendous improvements based on packet delivery rate (10%) and performance (35%). The demonstrated results and comparisons illustrate the proposed routing protocol’s significance with enhanced quality of service performance.

A novel routing protocol for stable route selection in IoT networks

A novel routing protocol for stable route selection in IoT networks

Weight-Based PA-GPSR Protocol Improvement Method in VANET.

Vehicle Ad-hoc network (VANET) can provide technical support and solutions for the construction of intelligent and efficient transportation systems, and the routing protocol directly affects the efficiency of VANET. The rapid movement of nodes and uneven density distribution affect the routing stability and data transmission efficiency in VANET. To improve the local optimality and routing loops of the path-aware greedy perimeter stateless routing protocol (PA-GPSR) in urban sparse networks, a weight-based path-aware greedy perimeter stateless routing protocol (W-PAGPSR) is proposed. The protocol is divided into two stages. Firstly, in the routing establishment stage, the node distance, reliable node density, cumulative communication duration, and node movement direction are integrated to indicate the communication reliability of the node, and the next hop node is selected using the weight greedy forwarding strategy to achieve reliable transmission of data packets. Secondly, in the routing maintenance stage, based on the data packet delivery angle and reliable node density, the next hop node is selected for forwarding using the weight perimeter forwarding strategy to achieve routing repair. The simulation results show that compared to the greedy peripheral stateless routing protocol (GPSR), for the maximum distance-minimum angle greedy peripheral stateless routing (MM-GPSR) and PA-GPSR protocols, the packet loss rate of the protocol is reduced by an average of 24.47%, 25.02%, and 14.12%, respectively; the average end-to-end delay is reduced by an average of 48.34%, 79.96%, and 21.45%, respectively; and the network throughput is increased by an average of 47.68%, 58.39%, and 20.33%, respectively. This protocol improves network throughput while reducing the average end-to-end delay and packet loss rate.

Stability and Wardrop Equilibria of Noncooperative Routing With Time-Varying Load

Non-cooperative or selfish routing problems emerge in several applications of network control theory. Considering a multi-commodity setting subject to time-varying traffic demands, this paper studies the convergence properties of a family of non-cooperative routing control laws, originally developed in the literature for constant traffic demands. By employing results from hybrid systems theory and set stability, this paper identifies the minimum time between bounded load variations to assure the convergence of the controlled system towards a set of approximated Wardrop equilibria. Numerical simulations validate the results on a test scenario.

Targeted Synthesis of “Urechis Unicinctus”-Like Nitrogen-Doped Porous Carbon Nanorods for Supercapacitors

Functionalized carbon nanorods have attracted extensive attention in materials science and technology, due to their unique structure and excellent properties. Nevertheless, it remains a huge challenge to develop an approach that combines simple, cost-effective implementation paths with outstanding target products. Herein, we propose a soft-template strategy to achieve directional preparation of one-dimensional (1D) “urechis unicinctus”-like nitrogen-doped porous carbon nanorods with abundant nitrogen content (8.35 wt %), high surface area (2560 m2/g), and hierarchical pore structure. The anionic surfactant sodium bis(2-ethylhexyl) sulfosuccinate (AOT) and melamine are the template agent and main carbon–nitrogen precursor, respectively. By controlling the amount of ammonia (NH4OH), the behavior of AOT molecules in the aqueous phase can be accurately interfered to construct rodlike micellar templates, thereby guiding the preparation of target structural products. The rationality and stability of the original route were verified by the rigorous control experiments and relevant characterization. Moreover, the prepared materials show excellent performance in the evaluation of supercapacitors with an outstanding specific capacitance of 398 F/g at a current density of 0.5 A/g and 73.4% of original specific capacitance retention at a current density of 20 A/g.