An ACO look-ahead approach to QOS enabled fault- tolerant routing in MANETs

Surendran, S.; Prakash, Shiva

doi:10.1109/cc.2015.7224693

Cited by 43 publications

(23 citation statements)

References 47 publications

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“…Surendran et al [54] described the fault-tolerant routing using the ant colony optimization approach. The algorithm uses ant-like agents called forward ants (FANT) and backward ants (BANT) to measure various parameters like next-hop availability (NHA), delay, and bandwidth as parameters for satisfying QoS constraints [54].…”

Section: Methodsmentioning

confidence: 99%

“…The algorithm uses ant-like agents called forward ants (FANT) and backward ants (BANT) to measure various parameters like next-hop availability (NHA), delay, and bandwidth as parameters for satisfying QoS constraints [54]. Using these parameters, path preference probability Friend-based ad hoc routing using challenges to establish security in MANET system [37] FACES algorithm • Sends challenges and shares friend lists to provide a list of trusted nodes to the source node through which data transmission finally takes place…”

Section: Methodsmentioning

confidence: 99%

“…Evaporation decreases the pheromone content of that failure path. But since it is still in the Figure 1 Block diagram for fault-tolerant and secure routing [54].…”

Section: Route Discovery Phasementioning

confidence: 99%

“…The main goal of the proposed ant-based look-ahead routing protocol [54] is to find all available node-disjoint routes between a source-destination pair with minimum routing overhead. Route discovery phase suggests the best and feasible paths for packet transmission.…”

Section: Route Selection and Route Maintenance Phasementioning

confidence: 99%

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EigenTrust-based non-cooperative game model assisting ACO look-ahead secure routing against selfishness

Subbaraj¹,

Savarimuthu²

2014

J Wireless Com Network

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In mobile ad hoc networks (MANETs), selfish behavior is observed when nodes fail to forward data packets which are actually intended. This is generally assumed to be a kind misbehavior which might interrupt the network operations. Here, we propose a QoS-constrained EigenTrust-based non-cooperative game model for secure fault-tolerant ant look-ahead routing which attempts to identify trusted valid route and look-ahead route pairs which might help in choosing the alternate path in case of valid route failure. Simulation results illustrate that the proposed trust-based secure routing is able to accurately distinguish malicious nodes from good nodes with a limited overhead.

show abstract

Section: Methodsmentioning

confidence: 99%

Section: Methodsmentioning

confidence: 99%

“…Evaporation decreases the pheromone content of that failure path. But since it is still in the Figure 1 Block diagram for fault-tolerant and secure routing [54].…”

Section: Route Discovery Phasementioning

confidence: 99%

Section: Route Selection and Route Maintenance Phasementioning

confidence: 99%

See 2 more Smart Citations

EigenTrust-based non-cooperative game model assisting ACO look-ahead secure routing against selfishness

Subbaraj¹,

Savarimuthu²

2014

J Wireless Com Network

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show abstract

“…It estimates the route break up based on link expiration metric and signal intensity level. QOS enabled fault-tolerant routing [20] recognize applicable route that used to select the alternate path while route failure. Backup route scheme [21] is established for improved the QoS routing.…”

Section: Related Workmentioning

confidence: 99%

Multicasting Based Enhanced Proactive Source Routing in MANETs

Dasarathan¹,

P²

2017

IJCNC

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An adaptive‐aware energy and queue improvement of AOMDV

Yang

Wang

et al. 2019

Int J Communication

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Because the node energy and network resources in the wireless sensor network (WSN) are very finite, it is necessary to distribute data traffic reasonably and achieve network load balancing. Ad hoc on-demand multipath distance vector (AOMDV) is a widely used routing protocol in WSN, but it has some deficiencies: establishes the route by only using hop counts as the routing criterion without considering other factors such as energy consumption and network load; forwards route request in fixed delay resulting in building the nonoptimal path; and cannot update the path status after built paths. For the deficiency of AOMDV, this paper proposes a multipath routing protocol adaptive energy and queue AOMDV (AEQAOMDV) based on adaptively sensing node residual energy and buffer queue length. When sending a routing request, the forwarding delay of the routing request is adaptively adjusted by both the residual energy and the queue length of the intermediate node; when establishing routes, a fitness is defined as a routing criterion according to the link energy and the queue load, predicting the available duration of the node based on the energy consumption rate and adjusting the weight of the routing criterion by the available duration of the node; after the routes are established, the path information status are updated via periodically broadcasting Hello that carries the path information with the minimum fitness, making the source node update the path information periodically. By using NS-2, simulations demonstrate that compared with AOMDV, AEQAOMDV has obvious improvements in increasing packet delivery ratio, reducing network routing overhead, reducing route discovery frequency, and decreasing the network delay. And AEQAOMDV is more suitable for WSN.

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An ACO look-ahead approach to QOS enabled fault- tolerant routing in MANETs

Cited by 43 publications

References 47 publications

EigenTrust-based non-cooperative game model assisting ACO look-ahead secure routing against selfishness

EigenTrust-based non-cooperative game model assisting ACO look-ahead secure routing against selfishness

Multicasting Based Enhanced Proactive Source Routing in MANETs

An adaptive‐aware energy and queue improvement of AOMDV

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