An Hybrid Ant Routing Algorithm for Reliable Throughput Using MANET

Umapathi, N.; Ramaraj, N.; Balasubramaniam, Dharini; Mano, R. Adlin

doi:10.1007/978-81-322-2268-2_14

Cited by 8 publications

(1 citation statement)

References 4 publications

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“…The following problems can occur in the network if the chosen routing protocol is inadequate to handle congestion [10]. a.…”

Section: Figure 1 Iot 5g Smart Sensing Scenario To Handle Sensing Bot...mentioning

confidence: 99%

Design and Analysis of a Bandwidth Aware Adaptive Multipath N-Channel Routing Protocol for 5G Internet of Things (IoT)

Singh,

Rosak-Szyrocka,

Lukàcs

2024

Emerg Sci J

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Large numbers of mobile wireless nodes that can move randomly and join or leave the network at any moment make up mobile ad-hoc networks. A significant number of messages are delivered during information exchange in populated regions because of the Internet of Things' (IoT) exponential increase in connected devices. Congestion can increase transmission latency and packet loss by causing congestion. More network size, increased network traffic, and high mobility that necessitate dynamic topology make this problem worse. An adaptive Multipath Multichannel Energy Efficient (AMMEE) routing strategy is proposed in this study, in which route selection strategies depend on forecasted energy consumption per packet, available bandwidth, queue length, and channel utilization. While multichannel uses a channel-ideal assignment process to lessen network collisions, multipath offers various paths and balances network strain. The link bandwidth is split up into a few sub-channels in the multichannel mechanism. To reduce network collisions, several source nodes simultaneously access the channel bandwidth. The cooperative multipath multichannel technique offers several paths from a single source or from several sources to the destination without colliding or becoming congested. The AMMEE routing approach is the basis for path selection. A load- and bandwidth-aware routing mechanism in the proposed AMMEE chooses the path based on node energy and forecasts their lifetime, which improves network dependability. The outcome demonstrates a comparative analysis of various multichannel medium access control (MMAC) techniques, including Parallel Rendezvous Multi Channel Medium Access Protocol (PRMMAC), Quality of Service Ad hoc On Demand Multipath Distance Vector (QoS-AOMDV), Q-learning-based Multipath Routing (QMR), and Topological Change Adaptive Ad hoc On-demand Multipath Distance Vector (TA-AOMDV) and the proposed AMMEE method. The results show that the AMMEE approach outperforms alternative systems. Doi: 10.28991/ESJ-2024-08-01-018 Full Text: PDF

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“…The following problems can occur in the network if the chosen routing protocol is inadequate to handle congestion [10]. a.…”

Section: Figure 1 Iot 5g Smart Sensing Scenario To Handle Sensing Bot...mentioning

confidence: 99%

Design and Analysis of a Bandwidth Aware Adaptive Multipath N-Channel Routing Protocol for 5G Internet of Things (IoT)

Singh,

Rosak-Szyrocka,

Lukàcs

2024

Emerg Sci J

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Congestion Aware and Adaptive Routing Protocols for MANETs: A Survey

Akhtar

Khattak

Ullah

et al. 2019

Recent Trends and Advances in Wireless and IoT-enabled Networks

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Congestion Avoidance for Smart Devices by Caching Information in MANETS and IoT

et al. 2019

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Mobile ad-hoc networks (MANETs) comprise a large number of mobile wireless nodes that can move in a random fashion with the capability to join or leave the network anytime. Due to the rapid growth of devices on the Internet of Things (IoT), a large number of messages are transmitted during information exchange in dense areas. It can cause congestion that results in increasing transmission delay and packet loss. This problem is more severe in larger networks with more network traffic and high mobility that enforces dynamic topology. To resolve these issues, we present a bandwidth aware routing scheme (BARS) that can avoid congestion by monitoring residual bandwidth capacity in network paths and available space in queues to cache the information. The amount of available and consumed bandwidth along with residual cache must be worked out before transmitting messages. The BARS utilizes the feedback mechanism to intimate the traffic source for adjusting the data rate according to the availability of bandwidth and queue in the routing path. We have performed extensive simulations using NS 2.35 on Ubuntu where TCL is used for node configuration, deployment, mobility and message initiation, and C language is used for modifying the functionality of AODV. The results are extracted from trace files using Perl scripts to prove the dominance of the BARS over preliminaries in terms of packet delivery ratio, throughput and end-to-end delay, and the probability of congested node for static and dynamic topologies.

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An Hybrid Ant Routing Algorithm for Reliable Throughput Using MANET

Cited by 8 publications

References 4 publications

Design and Analysis of a Bandwidth Aware Adaptive Multipath N-Channel Routing Protocol for 5G Internet of Things (IoT)

Design and Analysis of a Bandwidth Aware Adaptive Multipath N-Channel Routing Protocol for 5G Internet of Things (IoT)

Congestion Aware and Adaptive Routing Protocols for MANETs: A Survey

Congestion Avoidance for Smart Devices by Caching Information in MANETS and IoT

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