A Cluster-Based Multipath Routing Algorithm in Mobile Ad Hoc Networks

2007 ◽  
Vol 18 (4) ◽  
pp. 987
Author(s):  
Hui-Yao AN
2019 ◽  
Vol 26 (4) ◽  
pp. 251-265

In mobile ad hoc networks (MANET), the location-based multipath routing protocols involves less routing overhead compared to non-location-based protocols. This paper proposes two location-based algorithms, Enhanced Location-aided Level-based node Disjoint Multipath routing (ELLDMR) and Secure Location-aided Level-based node Disjoint Multipath routing (SLLDMR), to enhance the link lifetime and the security of the MANET. The objective of ELLDMR is to build multiple paths with non-critical nodes so that the lifetime of the routing path is significantly increased. It also hides the source, destination and path identity in intermediate nodes to avoid intrusion of routing attacks in the routing path. The SLLDMR is an enhancement over ELLDMR where it aims to overcome rushing attack and exhibit secure data transmission using two-level cryptographic processes. The performances of ELLDMR and SLLDMR are simulated using NS2 where it shows a minimum routing overhead, less end to end delay and high packet delivery compared to existing Location-aided Level-based node Disjoint Multipath routing (LLDMR) algorithm and Topology Hiding multipath protocol (TOHIP).


2019 ◽  
Vol 8 (3) ◽  
pp. 2123-2127

Mobile ad hoc networks (MANETs) comprise a set of wireless mobile nodes that communicates data between them with no infrastructure. The nature of restricted communication range of wireless network nodes leads to the requirement of multi-hops to communicate data in the network. Multipath routing discovers many routes among an individual source and destination. MANET possesses a network that has a tendency to change its structure frequently; hence the task of accomplishing a prescribed number of pathways between a prescribed source and destination nodes appears to be tedious. A new Neuro fuzzy oriented routing algorithm in MANET (NFRA) has been proposed in this work. The ultimate objective of the NFRA algorithm is to suitably create the fuzzy type controllers with the aim of minimizing the quantity of reconstructions in the wireless ad hoc network. The obtained simulation results have been found to portray both the efficiency and effectiveness of the applications incorporated into the Mobile ad hoc networks


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