Optimal route maintenance based on adaptive equilibrium optimization and GTA based route discovery model in MANET

Hemalatha, R.; Umamaheswari, R.; Jothi, S.

doi:10.1007/s12083-021-01186-3

Cited by 5 publications

(7 citation statements)

References 43 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…But the entire routing histories are not properly stored in a network. 42 Due to the rapid secure improvements in MANET environment, many research works contribute their ideas and strategies in a detailed manner. The below Table 1 shows the recent research methodologies about trust routing evaluation against routing attackers.…”

Section: Related Workmentioning

confidence: 99%

See 1 more Smart Citation

Improving routing disruption attack detection in MANETs using efficient trust establishment

Yamini

Stephy

Suthendran

et al. 2022

Trans Emerging Tel Tech

View full text Add to dashboard Cite

Security is a fundamental prerequisite in self-evolvability network and providing that in any situation is the most problematic task as the network is highly dynamic with no trusted centralized monitoring. On comparing with wired networks MANETs are highly susceptible to security attacks. This article proposed an efficient trust establishment-based routing evidence scheme (ETERE) that carried out in the creation and manipulation of mental representations of information identified. Here, propose I-Trust, probabilistic node misbehavior detection, for secure MANET routing toward ETERE scheme. The fundamental concept of I-Trust is presenting a periodically accessible trusted authority to pass judgment on the behavior of a node dependent on the gathered routing evidences and with self and coordinate monitoring. The main advantage of ETERE scheme is that even if the hackers or the internal attackers have the knowledge of the security scheme, the system cannot be compromised. The performance of ETERE scheme with different routing disturbance attacks is evaluated in this article. The computational outcomes emphasize the effectiveness of ETERE scheme and ensure the routing efficiency. The NS2 simulator is used in this research work. The simulation results show that the proposed ETERE scheme performs better than present methodologies improving the PDR and throughput of the network to a maximum extent of 28% and 34% respectively.

show abstract

Section: Related Workmentioning

confidence: 99%

“…The alternate path selection incase of failed routes is quickly accessed by using this method. But the entire routing histories are not properly stored in a network 42 …”

Section: Related Workmentioning

confidence: 99%

Improving routing disruption attack detection in MANETs using efficient trust establishment

Yamini

Stephy

Suthendran

et al. 2022

Trans Emerging Tel Tech

View full text Add to dashboard Cite

show abstract

“…9,10 Because of the need for QoS support, multipath routing systems have advanced during the preceding 10 years. 11 That is, a multipath routing protocol could evaluate node capabilities in different directions and select the optimum path to transmit data while considering node resources sufficient for facilitating QoS, such as bandwidth consumption, battery level, inefficient queue duration, and so forth. 12 Path selection statistics in MANET also take into account the path's durability and the nodes' capabilities.…”

Section: Introductionmentioning

confidence: 99%

Optimizing Mobile Ad Hoc Network cluster based routing: Energy prediction via improved deep learning technique

Murugan,

Unhelkar

2024

Int J Communication

View full text Add to dashboard Cite

SummaryMobile Ad Hoc Network (MANETs) are indeed autonomous, fast‐deployable wireless networks that are ideal for communications in areas with limited radio infrastructure, outdoor events, military operations, and disaster relief. But the primary problem is with routing because of the nodes' mobility. This paper proposes a cluster‐based routing under energy prediction via deep learning techniques. Here, proposes a new model termed as Concatenation of Convolutional with Max‐Avg Pooling layer in Deep Convolutional Neural Network (CCMAP‐DCNN) for energy prediction, in which additional layers are inserted into the extant DCNN structure to ensure the effectiveness of energy prediction. As a result, clusters are created by grouping the nodes together. Constraints like energy, trust, distance, and latency are taken into account while choosing the cluster leader. For cluster head selection and optimal routing, proposes a new hybrid Namib Beetle Upgraded Jellyfish Search Optimization (NBUJSO) algorithm that utilizes the NBO strategy to the JSO algorithm making the selection process more optimal. The best route is then chosen by the optimum routing method, which takes into account variables like network quality and mobility to send data packets from source to destination as efficiently as possible. Finally, the data aggregation process is followed for eliminating the redundant transmission.

show abstract

“…Because of their relatively strong mobility and limited energy, the nodes of construction robots have high requirements for the effectiveness of routing protocols. At present, the design and optimization of routing protocols are mainly divided into four categories [ 3 , 4 , 5 ]: (1) Reducing node energy consumption; (2) Reducing node load; (3) Maintaining link stability; (4) Dynamic maintenance [ 6 , 7 ]. Building a high-reliability, large-bandwidth, and low-latency communication network required for coordinated control and scheduling for construction robot clusters [ 8 , 9 ] expounded the construction and spatial modeling of the ground robot cluster communication network and integrated positioning and communication into the robot network, but ignored the complex secondary, coupling superposition characteristics of the industrial site.…”

Section: Introductionmentioning

confidence: 99%

“…(1) Reducing node energy consumption; (2) Reducing node load; (3) Maintaining link stability; (4) Dynamic maintenance [6,7]. Building a high-reliability, large-bandwidth, and low-latency communication network required for coordinated control and scheduling for construction robot clusters [8,9] expounded the construction and spatial modeling of the ground robot cluster communication network and integrated positioning and communication into the robot network, but ignored the complex secondary, coupling superposition characteristics of the industrial site.…”

Section: Introductionmentioning

confidence: 99%

Research on Routing Algorithm of Construction Robot Cluster Enhanced Ad Hoc Network

Wei

Zhao

Chen

2023

Sensors

View full text Add to dashboard Cite

An enhanced self-assembling network routing algorithm is proposed for the problem of weak connectivity of communication networks caused by factors such as movement or environmental interference in the construction and operation, and the maintenance of construction robot clusters. Firstly, the dynamic forwarding probability is calculated based on the contribution of nodes joining routing paths to network connectivity, and the robust connectivity of the network is achieved by introducing the connectivity feedback mechanism; secondly, the influence of link quality evaluation index Q balanced hop count, residual energy, and load on link stability is used to select appropriate neighbors for nodes as the subsequent hop nodes; finally, the dynamic characteristics of nodes are combined with the topology control technology to eliminate low-quality links and optimize the topology by link maintenance time prediction and to set robot node priority. The simulation results show that the proposed algorithm can guarantee a network connectivity rate above 97% under heavy load, reduce the end-to-end delay, and improve the network survival time, providing a theoretical basis for achieving stable and reliable interconnection between building robot nodes.

show abstract

Optimal route maintenance based on adaptive equilibrium optimization and GTA based route discovery model in MANET

Cited by 5 publications

References 43 publications

Improving routing disruption attack detection in MANETs using efficient trust establishment

Improving routing disruption attack detection in MANETs using efficient trust establishment

Optimizing Mobile Ad Hoc Network cluster based routing: Energy prediction via improved deep learning technique

Research on Routing Algorithm of Construction Robot Cluster Enhanced Ad Hoc Network

Contact Info

Product

Resources

About