An Optimized Algorithm for Selecting Stable Multipath Routing in MANET Using Proficient Multipath Routing and Glowworm Detection Techniques

Idrees, Barzan Abdulazeez; Naif, Saad Sulaiman; Galety, Mohammad Gouse; Arulkumar, N.

doi:10.1007/978-981-16-9012-9_41

Cited by 7 publications

(1 citation statement)

References 18 publications

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“…In order to lessen MANET failure in the wireless network system, Idrees et al [21] created the effective multipath routing and the glow warm detection. Thus, we know that the MANET used in the constant path and the energy conservation method helps to increase the stability function and the entire network performance better; thus, this proposed approach provides the enhanced accuracy.…”

Section: Related Workmentioning

confidence: 99%

Energy Auditing and Broken Path Identification for Routing in Large-Scale Mobile Networks Using Machine Learning

Venu

Revanesh

Supriya³

et al. 2022

Wireless Communications and Mobile Computing

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In mobile computing, all nodes are movable nodes, which causes many problems for transmitting data packets in a sequence manner; since the mobile nodes are connected with each other, during movement, nodes make the connection fail or damaged. This kind of link damage is caused by nodes that travel out of range from the network limit and also affect the packet success rate. This reduces the network lifetime and detection efficiency and increases the communication overhead. Every mobile node in mobile computing is an unstable node, causing numerous problems for broadcasting data packets in a series method. When the mobile nodes are connected to each other, relay nodes cause the link to break or else sustain damage. This type of connection failure is brought on by nodes that leave the network’s permitted range, which also lowers the packet success rate. The link failure cannot be recovered by the multipath routing algorithm. As a result, the communication overhead is increased while the network lifetime and detection effectiveness are reduced. Then, the novel energy routing (NER) method that has been proposed is employed to support the energetic routing path across the middle nodes. It is challenging to locate the failed channels and carry on with the successful packet transfer. The master node selection algorithm is intended to identify the best relaying node, fault-free packet transmission process among the network structure’s relaying nodes. The master node is efficiently chosen in this manner. The master node, also known as the energy-based important node, is employed in the mobile network to carry out error-free packet transmission procedures. The other nodes are lower energy nodes that do not participate in packet forwarding, and this algorithm only detects the higher energy successful nodes. This lengthens the network’s lifespan, improves detection effectiveness, and lowers communication overhead. The energy-based heavy node is also known as the master node, which is used to perform a problem-free communication process in the mobile network. This algorithm only accepts the higher energy successful node; the remaining nodes are lower energy nodes which do not perform the communication process. This increases the network lifetime and detection efficiency and reduces the communication overhead. The performance metrics for the proposed system is evaluated by end to end delay, communication overhead, throughput, detection efficiency, network lifetime, and packet drop rate.

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Section: Related Workmentioning

confidence: 99%