Swarm Based Hybrid ACO-PSO Meta-Heuristic (HAPM) for QoS Multicast Routing Optimization in MANETs

Kumari, P V Usha; Sahana, Sudip Kumar

doi:10.1007/s11277-021-09174-9

Cited by 16 publications

(6 citation statements)

References 24 publications

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“…Hybridization techniques69) have been applied in different contexts, such as combining GA with SA or PSO with BF and TS to explore advantageous solutions in specific local areas. In earlier studies, researchers have been using different models like ACO, CS, and PSO by using hybridization methods 70) to overcome the problem of local optima. Furthermore, some other researchers worked on other combinations including Genetic Algorithm with fuzzy theory and ACO with network theory.…”

Section: Discussionmentioning

confidence: 99%

Innovative Analysis of Workload Balancing Algorithms for Fog-Cloud Networks: A Contemporary Perspective

Sohal,

Kait

2023

Evergreen

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Cloud technology is increasingly widespread as thriving businesses and research organizations seek to leverage its on-demand access, service models, and deployment patterns. However, further enhancements are still required to achieve optimal performance within this field. One challenging aspect is load balancing, specifically the equilibrium distribution of workload across virtual machines, which is a computationally complex problem. The present work extensively reviewed the state-of-the-art methods for load balancing in the cloud, encompassing traditional techniques, heuristics, meta-heuristics, and hybrid approaches. This paper provides a comprehensive historical assessment and comparative analysis of the prominent literature on load balancing, serving as a valuable resource for researchers aiming to develop new and effective load-balancing algorithms in the domain of fog-cloud networks. In this study, a thorough historical evaluation and comparative research of load-balancing literature can provide important insights into the development, efficacy, and adaptability of load-balancing strategies in a variety of scenarios. There are many fascinating directions that researchers in this area might go in, addressing both the past developments and the upcoming difficulties of load balancing in the dynamic environment of computing and networking.

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Section: Discussionmentioning

confidence: 99%

Innovative Analysis of Workload Balancing Algorithms for Fog-Cloud Networks: A Contemporary Perspective

Sohal,

Kait

2023

Evergreen

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“…In [23], the authors propose a swarm-based hybrid ACO PSO meta-heuristic (HAPM) routing protocol to ensure routing in large and dynamic ad hoc network. To increase QoS restrictions and reduce QoS data dropping, this protocol combines ACO, PSO, and a dynamic queue mechanism.…”

Section: Related Workmentioning

confidence: 99%

An Efficient OLSR Routing Protocol to Minimize Multipoint Relays in MANET

2024

IJIES

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Reducing control packets, especially in proactive routing protocols, needed to establish routes can lower network overhead in Mobile Ad-hoc Networks (MANETs). In Optimized Link State Routing (OLSR) protocol, each Multipoint Relay (MPR) node propagates Topology Control (TC) messages to advertise neighbor information. However, OLSR controls the TC messages by reducing the number of MPR nodes. In this study, we propose an efficient MPR node selection mechanism to reduce the TC message volume leading to a minimized routing overhead. Each node selects the lowest cost node heuristically from its first hop neighbors as the MPR node for any destination. The same MPR node can be selected for multiple destinations if it costs the lowest for each destination node. The selection technique is realized by modifying only the default OLSR TC and Hello messages. The proof-of-concept implementation in the NS3 simulator reveals that the proposed methodology reduces the routing overhead by selecting around 55%, 28% and 49% (on average) fewer MPR nodes compared to the traditional OLSR, SSTB and M-OLSR protocol respectively, without negotiating packet delivery ratio, throughput and delay.

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“…They provide the QoE-driven multipath TCP-based data delivery model and present hidden Markov model-based optimal-start multipath routing [ 51 ]. Kumari and Sahana combine ACO, PSO, and a dynamic queue mechanism to improve QoS constraints and minimize data dropping [ 29 ]. Palacios Jara et al guarantee QoS and the trust level between users who form the forwarding path in the MANETs by modifying the multipath multimedia dynamic source routing protocol [ 38 ].…”

Section: Related Workmentioning

confidence: 99%

“…However, energy-saving is an enormous obstacle to further improving their performances. In mobile ad-hoc networks (MANETs), the recent multimedia routing developments are mainly triggered by the robot technology progress and the growing robot applications [ 1 , 5 , 12 , 29 , 33 , 38 , 43 , 51 ]. These researches focus on 2D application scenarios.…”

Section: Introductionmentioning

confidence: 99%

Hedge transfer learning routing for dynamic searching and reconnoitering applications in 3D multimedia FANETs

Zhang

Liu

et al. 2023

Multimed Tools Appl

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With the fast development of unmanned aerial vehicles (UAVs) and the user increasing demand of UAV video transmission, UAV video service is widely used in dynamic searching and reconnoitering applications. Video transmissions not only consider the complexity and instability of 3D UAV network topology but also ensure reliable quality of service (QoS) in flying ad hoc networks (FANETs). We propose hedge transfer learning routing (HTLR) for dynamic searching and reconnoitering applications to address this problem. Compared with the previous transfer learning framework, HTRL has the following innovations. First, hedge principle is introduced into transfer learning. Online model is continuously trained on the basis of offline model, and their weight factors are adjusted in real-time by transfer learning, so as to adapt to the complex 3D FANETs. Secondly, distributed multi-hop link state scheme is used to estimate multi-hop link states in the whole network, thus enhancing the stability of transmission links. Among them, we propose the multiplication rule of multi-hop link states, which is a new idea to evaluate link states. Finally, we use packet delivery rate (PDR) and energy efficiency rate (EER) as two main evaluation metrics. In the same NS3 experimental scenario, the PDR of HTLR is at least 5.11% higher and the EER is at least 1.17 lower than compared protocols. Besides, we use Wilcoxon test to compare HTLR with the simplified version of HTLR without hedge transfer learning (N-HTLR). The results show that HTRL is superior to N-HTRL, effectively ensuring QoS.

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Swarm Based Hybrid ACO-PSO Meta-Heuristic (HAPM) for QoS Multicast Routing Optimization in MANETs

Cited by 16 publications

References 24 publications

Innovative Analysis of Workload Balancing Algorithms for Fog-Cloud Networks: A Contemporary Perspective

Innovative Analysis of Workload Balancing Algorithms for Fog-Cloud Networks: A Contemporary Perspective

An Efficient OLSR Routing Protocol to Minimize Multipoint Relays in MANET

Hedge transfer learning routing for dynamic searching and reconnoitering applications in 3D multimedia FANETs

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