Persuasive Simulation of Optimized Protocol for OppNet

Dalal, Renu; Khari, Manju

doi:10.46719/dsa202130512

Cited by 8 publications

(3 citation statements)

References 29 publications

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“…In establishing an ideal message communication node, movement angle, and social similarity are measured using the fuzzy analytic hierarchy (FAH) model. In Reference 33, the learning feature obtained from the direct delivery protocol used a random forest machine learning algorithm to establish multiple ideal hop nodes between the transmitter and the receiver. Only one suitable node is chosen among multiple ideal nodes using the firefly optimization algorithm for transmitting messages.…”

Section: Literature Surveymentioning

confidence: 99%

Social context‐aware macroscopic routing scheme for opportunistic network

Sreenivasa¹,

Lahza

G³

et al. 2023

Trans Emerging Tel Tech

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Opportunistic networks (OppNets) have attracted widespread attention as wireless technologies have advanced. OppNets are widely used in delay‐tolerant applications because they route messages using a store‐carry‐forward mechanism. Recently, socially aware routing has been increasingly modeled for message dissemination in OppNets, where the message is routed selectively through cooperative nodes based on user interests; however, routing becomes extremely difficult as node density and data size increase. However, the current method fails to reduce data redundancy, message overhead, delay, and improve performance efficiency. To address the issues, this article proposes social context‐aware microscopic routing (SCAMR) for OppNets. SCAMR uses cluster‐based communication, novel social‐context association mapping, and an improved lost packet retrieval mechanism with minimal messaging overhead. In this work, the experiment was performed by considering three scenarios: varying node size, varying buffer size, and varying time‐to‐live size. The experimental results show that the SCAMR scheme improves delivery ratio by 71.25%, 67.87%, 69.18%, reduces delay by 33.93%, 26.68%, 35.36%, reduces the number of hop nodes (i.e., messaging overhead) by 77.84%, 71.53%, 76.04% over existing approaches namely, SCARF (SoCial‐Aware Reliable Forwarding Technique for Vehicular Communications), SRS (secure routing strategy), and EDT (effective data transmission) considering different scenarios, respectively.

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Section: Literature Surveymentioning

confidence: 99%

Social context‐aware macroscopic routing scheme for opportunistic network

Sreenivasa¹,

Lahza

G³

et al. 2023

Trans Emerging Tel Tech

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“…ORFP: in 2021, Optimized Random Forest Protocol (ORFP) approach is proposed by Dalal et al [90]. This protocol used the feature of random forest machine learning algorithm and firefly optimization algorithm.…”

Section: K Miscellaneous Ormentioning

confidence: 99%

Proliferation of Opportunistic Routing: A Systematic Review

et al. 2022

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Opportunistic networks (OppNet) a new paradigm emerges after the great advancement of wireless technology and MANETs (Mobile Ad-hoc Networks). Store-Carry-forward phenomena is used to route the messages in OppNets; therefore, it is called delay tolerant network (DTNs). OppNet is such a heterogeneous flexible network that works in hurricane affected regions and volcanoes environment. The objective of this article is to determine, evaluate, elect and synthesize all terrific quality research work on the basis of Research Questions (RQ) which is significant to use for opportunistic routing. Systematic literature review on state-of-the-art researches on routing protocols are presented with comparative analysis. To eliciting relevant work for review, advanced exploration is conducted on contrasting digital libraries. This work gives the opportunity to the readers to understand what has been done in field of Opportunistic Routing (OR), what parameters effect the performance of protocol, name of the organization; who works in this field. At last, issues, challenges, and upcoming future terms of this network are discussed.

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“…CSTR is a continuous process whose system parameters and dynamics change with time (Favache & Dochain, 2010) making it unpredictable and nonlinear (Dalal & Khari, 2021). Conventional PID controllers have not been able to handle these non‐linearities smoothly (Chen & Dai, 2001).…”

Section: Introductionmentioning

confidence: 99%

Performance improvement and Lyapunov stability analysis of nonlinear systems using hybrid optimization techniques

Srivastava

Chaudhary

et al. 2022

Expert Systems

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Using Hybrid optimization algorithms for nonlinear systems analysis is a novel approach. It is a powerful technique that uses the exploitation ability of one algorithm and the exploration ability of another algorithm, to find the best solution. Literature survey reveals that hybrid algorithms not only show quality response but also give faster convergence of error for nonlinear systems. In this paper, hybrid optimization techniques based proportional integral derivative (PID) controller is used for benchmark problems: Continuous stirred tank reactor (CSTR), Inverted pendulum and blood glucose system. Two recent hybrid algorithms: Particle swarm optimization‐Gravitational search algorithm (PSO‐GSA) and Particle swarm optimization‐Grey wolf algorithm (PSO‐GWO) are implemented to control the temperature and concentration of CSTR, pendulum angle of inverted pendulum, glucose concentration and insulin level of blood glucose system. In PID and PSOGWO algorithms, the exploration abilities of GSA and GWO combined with the exploitation ability of PSO have been used. The performance of these algorithms is then compared with individual PSO, GSA, and GWO algorithms proving their superiority. Stability is ensured using the Lyapunov approach while the robustness of the systems is checked using the parameter perturbation technique. Simulation results show substantial improvement in the performance of these systems by using these meta‐heuristic hybrid optimization techniques. A comparative analysis of these algorithms has also been done.

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Persuasive Simulation of Optimized Protocol for OppNet

Cited by 8 publications

References 29 publications

Social context‐aware macroscopic routing scheme for opportunistic network

Social context‐aware macroscopic routing scheme for opportunistic network

Proliferation of Opportunistic Routing: A Systematic Review

Performance improvement and Lyapunov stability analysis of nonlinear systems using hybrid optimization techniques

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