Energy-Efficient Fuzzy Geocast Routing Protocol for Opportunistic Networks

Khalid, Khuram; Woungang, Isaac; Dhurandher, Sanjay Kumar; Singh, Jagdeep

doi:10.1007/978-3-030-75100-5_48

Cited by 2 publications

(3 citation statements)

References 11 publications

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“…In [12], focused on addressing the congestion at the node and link-level adopting reactive routing mechanism using random early detection and expanding ring searching models to improve packet delivery ratio with minimal latency. In [13], an energyefficient version of the FCSG, EFCSG has been proposed for the OppNets. This protocol uses the fuzzy controller with fuzzy features to check the nodes that can be considered for the routing process.…”

Section: Literature Surveymentioning

confidence: 99%

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Efficient Multimedia Content Transmission Model for Disaster Management using Delay Tolerant Mobile Adhoc Networks

Mangasuli¹,

Kaluti²

2023

IJACSA

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Natural and manmade disasters such as earthquakes, floods, unprecedented rainfall, etc. pose several threats to our society. The citizens upload disaster information in the form of multimedia content such as pictures, audio, and videos. Efficient information and communication framework are critical for disaster management. Mobile Adhoc Networks (MANET) have been used effectively for disaster management. However, Disaster management prerequisites following Quality of Service (QoS) requirements such as bandwidth, high delivery ratio, low overhead, and minimal latency; however, the existing data transmission scheme induces high latency and overhead among intermediate devices; In order to meet the QoS requirement of disaster management applications in this paper, High Delivery Efficiency and Low Latency Multimedia Content Transmission (HDELL-MCT) scheme for MANETs is presented. Then, an improved buffer management scheme is presented for meeting disaster management performance and latency prerequisites. The experiment is conducted using ONE Simulator, the outcome shows the HDELL-MCT scheme achieves very good performance considering different QoS metrics such as improving delivery ratio by 38.02%, reducing latency by 7.53% and minimizing hop communication overhead by 65.1% in comparison with existing multimedia content transmission model.

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Section: Literature Surveymentioning

confidence: 99%

“…Every node in the network acts like a router that can send the packets (i.e., images, videos, etc.) from the source to the destination in an opportunistic manner [13]. The nodes can be of any device like mobiles, laptops, personal computers, etc.…”

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confidence: 99%

Efficient Multimedia Content Transmission Model for Disaster Management using Delay Tolerant Mobile Adhoc Networks

Mangasuli¹,

Kaluti²

2023

IJACSA

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“…All these geo-cast routing protocols worked best at the zone of relevance in VANETs. But none of them integrated the genetic approach with firefly swarm intelligence to analyze the performance based on transmission time [10].…”

Section: Figure 1 Vanet Structurementioning

confidence: 99%

Hybrid Genetic Firefly Algorithm-Based Routing Protocol for VANETs

et al. 2022

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Vehicular Adhoc Networks (VANETs) are used for efficient communication among the vehicles to vehicle (V2V) infrastructure. Currently, VANETs are facing node management, security, and routing problems in V2V communication. Intelligent transportation systems have raised the research opportunity in routing, security, and mobility management in VANETs. One of the major challenges in VANETs is the optimization of routing for desired traffic scenarios. Traditional protocols such as Adhoc Ondemand Distance Vector (AODV), Optimized Link State Routing (OLSR), and Destination Sequence Distance Vector (DSDV) are perfect for generic mobile nodes but do not fit for VANET due to the high and dynamic nature of vehicle movement. Similarly, swarm intelligence routing algorithms such as Particle Swarm Optimization (PSO) and Ant Colony Optimization (ACO) routing techniques are partially successful for addressing optimized routing for sparse, dense, and realistic traffic network scenarios in VANET. Also, the majority of metaheuristics techniques suffer from premature convergence, being stuck in local optima, and poor convergence speed problems. Therefore, a Hybrid Genetic Firefly Algorithm-based Routing Protocol (HGFA) is proposed for faster communication in VANET. Features of the Genetic Algorithm (GA) are integrated with the Firefly algorithm and applied in VANET routing for both sparse and dense network scenarios. Extensive comparative analysis reveals that the proposed HGFA algorithm outperforms Firefly and PSO techniques with 0.77% and 0.55% of significance in dense network scenarios and 0.74% and 0.42% in sparse network scenarios, respectively.

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Energy-Efficient Fuzzy Geocast Routing Protocol for Opportunistic Networks

Cited by 2 publications

References 11 publications

Efficient Multimedia Content Transmission Model for Disaster Management using Delay Tolerant Mobile Adhoc Networks

Efficient Multimedia Content Transmission Model for Disaster Management using Delay Tolerant Mobile Adhoc Networks

Hybrid Genetic Firefly Algorithm-Based Routing Protocol for VANETs

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