Improving performance in mobile ad hoc networks by reliable path selection routing using RPS‐LEACH

Anbarasan, M.; Prakash, S. P. Shiva; Anand, M.; Antonidoss, A.

doi:10.1002/cpe.4984

Cited by 6 publications

(1 citation statement)

References 17 publications

(23 reference statements)

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“…But the received signal strength of the node was not considered to reduce the routing overhead. Reliable Path Selection approach was designed in [9] for the data packet communication with less amount of energy and time consumption. But the instable link and mobility character of the nodes causes the link failure.…”

Section: Introductionmentioning

confidence: 99%

Hybridization of Brownboost and Random Forest Tree with Gradient Free Optimization for Route Selection

Tamilselvi¹,

Ravi²

2021

IJC

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MANETs are self-organizing network architectures of mobile nodes. Due to node mobility, wireless network topologies dynamically various over time. A novel link stability estimation technique called Hybridization of Brownboost Cluster and Random Forest Decision Tree with Optimized Route Selection (HBCRFDT-GORS) technique is introduced for increasing the reliable data delivery by eliminating the stale routes in MANET. Brown Boost technique is applied to find the route paths having the smaller number of hop counts to perform the data transmission. After that, the status of the mobile nodes in the selected route paths is determined based on the residual energy and signal strength. Then, a random forest decision tree is applied to correctly identify the stale routes by finding the link failure due to the selfish node and the corruptive node along the route path. Then the broken link is removed from the route path. After eliminating the stale route from the path, the HBCRFDT-GORS technique finds the alternative optimal route through the gradient free optimization. The proposed HBCRFDT-GORS technique performs stale route elimination and improves reliable data delivery from source to destination. Simulation is conducted on different performance metrics such as routing overhead, packet delivery ratio, packet drop rate, and delay with respect to the number of data packets. The Network simulation results indicate that the HBCRFDT-GORS technique is improving the data delivery and and minimizing the delay as well as reducing the packet losses when compared to the baseline approaches.

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Section: Introductionmentioning

confidence: 99%

Hybridization of Brownboost and Random Forest Tree with Gradient Free Optimization for Route Selection

Tamilselvi¹,

Ravi²

2021

IJC

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Special issue on real‐time behavioral monitoring in IoT applications using big data analytics

Jeon

Chehri

Cuomo

et al. 2019

Concurrency and Computation

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Real-time social multimedia level threat monitoring is becoming harder, due to higher and rapidly increasing data induction. Data induction through electric smart devices is greater compared to information processing capacity. Nowadays, data becomes humongous even coming from the single source. Therefore, when data emanates from all heterogeneous sources distributed over the globe makes data magnitude harder to process up to a needed scale. Big data and Deep learning have become standard in providing well-known solutions built-up using algorithms and techniques in resolving data matching issues. Now, with the involvement of sensors and automation in generating data obscures everything, predicting results to overcome a current era of ever enhancing demands and getting real-time visualization brings the need of feature like human behavior mode extraction to overcome any future threats. Big data analytics can bring the opportunity of predicting any misfortune even before they happen. Map reduce feature of big data supports massive data oriented process execution using distributed processing. Real-time human feature identification and detection can occur through sensors and internet sources. A behavioral prediction can further classify the information collected for introducing enhanced security extents. Real-time sensor devices are producing 24/7-hour data for further processing recording each event. IoT-based sensors can support in behavioral analysis model of a human. Real-time human behavioral monitoring based on image processing and IoT using big data analytics.

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An energy‐efficient priority‐based packet scheduling mechanism for enhancing quality of service in mobile ad hoc network

Bhavadharini¹,

Karthik²,

Sabitha

2021

Concurrency and Computation

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In today's world, a mobile ad hoc network plays a predominant role for numerous applications such as education, entertainment, emergency services, tactical services, and home applications. The performance of IEEE 802.11 based wireless ad hoc networks degrades due to high contention for the shared medium among multiple ad hoc nodes.However, the shared medium can be accessed by multiple nodes, which causes link collisions and packet drop at the link level. These kinds of packet drops have a direct impact on the overall performance of the transmission control protocol (TCP). In this article, a new robust prioritized packet scheduling with adaptive backoff window (PPSAB) mechanism has been proposed to enhance the quality of service of TCP in the wireless scenario. In order to determine the congestion in the network, the proposed PPSAB mechanism anticipates the cross-layer parameters instead of transport layer parameters. The proposed access scheme assures minimized collisions and energy by setting the node level access to prevailing network parameters. The performance of the proposed PPSAB has been evaluated using an NS-2 environment and the results manifest that the normalized overhead is reduced by 20% and network throughput is increased by 17% than the existing methods. K E Y W O R D Senergy consumption, mobile ad hoc network, prioritized packet scheduling, quality of service INTRODUCTIONThe rapid development of wireless communication demands uninterrupted network connectivity among the communicating. Typically, mobile ad hoc network (MANET) is the collection of self-organizing and self-configuring mobile nodes which is not dependent on any stable and central coordinating infrastructure. The mobility of the nodes makes the topology of the network changes dynamically and the nodes may join and leave the network at any instance. 1 IEEE 802.11 ascertains single-hop reliability at medium access control (MAC) layer in MANETs.Two types of medium access techniques are generally utilized in IEEE 802.11. The first method, the distributed coordinated function enables the data flow among communicating devices while requiring no control infrastructure. Second, point coordinated function in which a central coordinator controls access to the shared wireless channel. 2,3 The basic channel access method exploited in distributed coordinated function is carrier sense multiple access collision and avoidance by the nodes. Every time, the shared channel is sensed by the node before data transmission and the node can transmit data if the medium is free or defer transmission until the medium becomes free.

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Improving performance in mobile ad hoc networks by reliable path selection routing using RPS‐LEACH

Cited by 6 publications

References 17 publications

Hybridization of Brownboost and Random Forest Tree with Gradient Free Optimization for Route Selection

Hybridization of Brownboost and Random Forest Tree with Gradient Free Optimization for Route Selection

Special issue on real‐time behavioral monitoring in IoT applications using big data analytics

An energy‐efficient priority‐based packet scheduling mechanism for enhancing quality of service in mobile ad hoc network

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