RETRACTED ARTICLE: Multi constraints applied energy efficient routing technique based on ant colony optimization used for disaster resilient location detection in mobile ad-hoc network

Malar, A. Christy Jeba; Kowsigan, M.; Krishnamoorthy, N.; Karthick, S.; Prabhu, E; Venkatachalam, K.

doi:10.1007/s12652-020-01767-9

Cited by 64 publications

(34 citation statements)

References 14 publications

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“…The results indicated that the A-EEBLR outperformed the state of art. Malar et al, in [69] presented an energy efficient routing protocol based ACO called multi-objective constraints applied energy efficient routing-Ant Colony Optimization (MCER-ACO). The proposed protocol picks the next hop based on node energy, topology dynamic movement and number of packet in path.…”

Section: Related Workmentioning

confidence: 99%

“…While other researchers believe that the main objective of using BIAs in MANET is to optimize nodes energy as it is one of the main factors that affect the Quality of Service (QoS) Metrics. So many studies have proposed energy efficient routing protocols relying BIAs, emulating the living organisms as ants , bees or even bats in finding the shortest path with less consumed energy as Ant Colony [44][45][46][47], Particle Swarm Optimization [48][49][50][51][52], Bee Colony [53][54][55][56][57], Immune System [58], Fish swarm [59] and Bat algorithm [60].…”

Section: Introductionmentioning

confidence: 99%

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Elephant Herding Optimization Ad Hoc On-Demand Multipath Distance Vector Routing Protocol for MANET

Sarhan

2021

IEEE Access

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Energy consumption always represents a challenge in the ad hoc networks which spurred the researchers to benefit from the bio-inspired algorithms and their fitness functions to evaluate nodes energy through the path discovery stage. In this paper we propose energy efficient routing protocol based on the well-known Ad Hoc On-Demand Multipath Distance Vector (AOMDV) routing protocol and a bio-inspired algorithm called Elephant Herding Optimization (EHO). In the proposed EHO-AOMDV the overall consumed energy of nodes is optimized by classifying nodes into two classes, while paths are discovered from the class of the fittest nodes with sufficient energy for transmission to reduce the probability of path failure and the increasing number of dead nodes through higher data loads. The EHO updating operator updates classes based on separating operator that evaluates nodes based on residual energy after each transmission round. Experiments were conducted using Ns-3 with five evaluation metrics routing overhead, packet delivery ratio, average energy consumption, end-to-end delay and number of dead nodes and four implemented protocols the proposed protocol , AOMDV and two bio-inspired protocols ACO-FDRPSO and FF-AOMDV. Results indicated that the proposed EHO-AOMDV attained higher packet delivery ratio with less routing overhead, average energy consumption and number of dead nodes over the state of art while in the end-to-end delay AOMDV has outperformed the proposed protocol.

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Section: Related Workmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Elephant Herding Optimization Ad Hoc On-Demand Multipath Distance Vector Routing Protocol for MANET

Sarhan

2021

IEEE Access

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“…In case of a utility dropping short of generation, because of forced outage of generators sudden enhancement in demand, additional utility of the pool can come to its salvage by making its excess power accessible. The machine learning based model proposed for classification (Malar et al 2020;Basha et al 2020;Yasoda et al 2020).…”

Section: Supply Unit Modelmentioning

confidence: 99%

RETRACTED ARTICLE: Automatic generation control with fuzzy logic controller incorporating tandem and cross compound turbine

Moniya

Anand

2020

J Ambient Intell Human Comput

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This dissertation characterize the Automatic Generation Control (AGC) knit together with tandem reheat and cross reheat thermal system wielding Proportional Integral (PI) and Fuzzy Logic Controller (FLC). Multi area thermal system is designed with non-linearities such as governor dead band in addition with generation rate constraint. This study is come up with a knowledgeable application of Redox flow batteries (RFB) correlative along Static Synchronous Series Compensator. In order to enhance dynamic reaction of the load frequency control, redox flow battery has been appended in couple of the units as a result of being active rejoinder and nether time persistent. Ziegler Nichols method is wielded to regulate the PI controllers. During enormous load distraction within areas, conventional control methods alone would be ineffective in diminishing frequency deflection and power of tie-line swinging as a result of medium reaction by speed governor process. In order prevail this hindrance; fuzzy logic controller has been executed within the plant. Simulation studies affirm the efficacy of the fuzzy logic controller, depends upon the parameters like overshoots, under shoots and settling time, hence AGC functioning during abnormality in power system has been ameliorated. System is also studied for hydro thermal power system with simulation outcome.

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“…, if the k th ant passes in the iteration 0, other (12) where L k denotes the total length of the path which the k th ant passes through in an iteration. We will deduce and explain L k in the later part.…”

Section: The Aco-based Cross-layer Routing Algorithmmentioning

confidence: 99%

“…The Ant Colony Optimization (ACO) algorithm, a parallel computing SI algorithm, has significant advantages to solve the distributed dynamic combinatorial optimization problem, which could be applied to routing algorithms in SAGINs. Nowadays, many scholars have applied ACObased algorithms to wireless destributed network routing algorithms [11][12][13][14]. G. Di Caro [15] applied the ACO algorithm to wireless ad hoc networks, and proposed an adaptive nature-inspired routing algorithm (so-called AntHocNet) using a measured pheromone value to indicate the path quality.…”

Section: Introductionmentioning

confidence: 99%

An ACO-based cross-layer routing algorithm in space-air-ground integrated networks

Zheng

Zhang

Yang

2021

Peer-to-Peer Netw. Appl.

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Space-air-ground integrated networks (SAGINs) are heterogeneous, self-organizing and time-varying wireless networks providing massive and global connectivity. These three characteristics of SAGINs bring great challenges for routing design. In this paper, the important parameters affecting performance of SAGINs are analyzed, based on which the heterogeneous network framework is described as a vector weighted topology. Instead of a scale, the weighted parameter of the topology is a vector with elements of signal-to-noise ratio (SNR), variation of SNR, end-to-end delay and queuing length. To meet the time-varying requirements, a Wiener predictor is adopted for obtaining the estimated channel information, the expectation of queuing delay is also acquired by modeling the process of packets waiting the transmitting buffer as a M/M/1 queuing system. Considering the Ant Colony Optimization (ACO) algorithm sharing the common decentralized feature with routing algorithm in SAGINs, a novel ACO-based cross-layer routing algorithm for SAGINs is proposed. The proposed algorithm takes the link quality and end-to-end packed delay in the physical layer as deciding factors in searching for optimal routing. Simulations performed in different scenarios show that this proposed algorithm demonstrates a higher packet delivery rate.

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RETRACTED ARTICLE: Multi constraints applied energy efficient routing technique based on ant colony optimization used for disaster resilient location detection in mobile ad-hoc network

Cited by 64 publications

References 14 publications

Elephant Herding Optimization Ad Hoc On-Demand Multipath Distance Vector Routing Protocol for MANET

Elephant Herding Optimization Ad Hoc On-Demand Multipath Distance Vector Routing Protocol for MANET

RETRACTED ARTICLE: Automatic generation control with fuzzy logic controller incorporating tandem and cross compound turbine

An ACO-based cross-layer routing algorithm in space-air-ground integrated networks

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