Energy Sensitive Cluster Level Security Selection Scheme for MANET

Mohandas, Radhesh; Krishnamoorthi, K.; Sudha, V.

doi:10.1007/s11277-019-06131-5

“…The network design was very difficult and it has an expensive network. Mohandas et al (2019) evaporated an energyefficient cluster-level security selection scheme for MANET (mobile ad-hoc network). The proposed clustering procedures were categorized the nodes of MANET into various virtual-energy-cluster (VEC) and this linked with conventional routing clusters.…”

Section: Literature Surveymentioning

confidence: 99%

An Energy Efficient Model for Node Ranking and Routing path Computation using Optimal Type-2 Fuzzy Logic Controller

Mamatha

¹

,

Ramakrishna

²

2023

Preprint

0

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The mobile ad hoc network (MANET) network is mainly formed by interconnected wireless mobile devices with restricted residual battery power which necessitates the need for an energy-efficient design. The MANET routing protocol mainly improves the network lifetime through efficient energy utilization. To improve the network lifetime, an optimized link-state routing (OLSR) protocol is formed by integrating the Interval Type-2 Fuzzy Logic Controller and Modified Dingo optimization (MDO) (IT2FLC-MDO) algorithm. The IT2FLC-MDO algorithm designed for the OLSR protocol formulates the routing issue as an optimization problem. The heterogeneous nature of the mobile nodes also affects the efficiency of the routing scheme. The energy-aware Quality of Service (EQoS) features are incorporated by the IT2FLC-MDO algorithm to enhance the OLSR protocol efficiency. The different EQoS features are the node speed, queue length, distance, lifetime, remaining battery capacity, etc. A multicriteria node Rank Metric (MCNR) is computed for the EQoS features to minimize the overhead complexity associated with broadcasting different EQoS features separately. The experiments are conducted using the ns2 simulator via different performance metrics such as end-to-end delay, packet delivery ratio, normalized control overhead, energy computation, and message success rate. The simulation results show that the proposed IT2FLC-MDO protocol improves the MANETS lifetime and also the consistency in data delivery.

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“…The network design was very difficult complex and not cost‐efficient. An energy‐efficient cluster‐level security selection (EECLC) approach for MANET was developed by Mohandas et al 18 The proposed clustering methods divided the MANET nodes into several virtual energy clusters (VEC), which are connected to traditional routing clusters. To preserve the longevity and mobility of the whole network, the VEC table quickly checks the energy level of nodes.…”

Section: Literature Surveymentioning

confidence: 99%

“…The existing studies 2,[13][14][15][16][17][18] were mostly focused on either the MANET or WSN scenario and often failed to integrate different MANET and WSN nodes based on their capacity, battery lifetime and so on. One thing most of the existing techniques failed to achieve is analyzing their impact via a routing protocol and determining their performance.…”

Section: Literature Surveymentioning

confidence: 99%

Integrating interval type‐2 fuzzy logic and modified dingo optimization for node ranking and energy efficient MANET

Mamatha

¹

,

Ramakrishna

²

2023

Trans Emerging Tel Tech

0

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In mobile ad hoc networks (MANET), the mobility of the node changes dynamically, thus affecting the stability of the connection and increasing energy consumption. The heterogeneity of the MANET nodes in terms of mobility, battery capacity, and processing capabilities often complicates the routing process and results in increased energy consumption and traffic overhead. To overcome the challenges associated with diverse MANET nodes, this article presents a hybrid interval type‐2 fuzzy logic controller and modified dingo optimization (IT2FLC‐MDO) algorithm‐based optimized link‐state routing protocol. In our proposed IT2FLC‐MDO algorithm, multiple Quality of Service (QoS) parameters (node distance, lifetime, residual energy, speed, queue length, etc) are integrated into a single multicriteria node metric to improve the multipath route analysis and topology formation. In this way, the need to broadcast multiple parameters for each session is reduced thus minimizing the control overhead. The proposed routing protocol mainly aims to achieve a tradeoff between the QoS metrics and energy consumption during data transmission, addresses the QoS and energy issues associated with multipath routing, and uses a multicriteria node metric. The proposed IT2FLC‐MDO protocol takes both the energy consumption and QoS parameters into account, thus achieving a balance between the energy consumption and QoS. The cluster head primarily chooses the path with the highest link quality to ensure reliable data transmission. The proposed IT2FLC‐MDO protocol's efficiency is demonstrated using several performance measures such as packet delivery ratio, average end‐to‐end delay, and normalized control overhead. The simulation results indicate that the proposed algorithm can handle MANET uncertainty while minimizing control overhead. The results show that the proposed algorithm offers a packet delivery rate nearly equal to 96% and improves the MANET's lifetime by up to 59%.

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“…The network design was very difficult and it has an expensive network. Mohandas et al [17] evaporated an energy-efficient cluster-level security selection scheme for MANET (mobile ad-hoc network). The proposed clustering procedures were categorized the nodes of MANET into various virtualenergy-cluster (VEC) and this linked with conventional routing clusters.…”

Section: Literature Surveymentioning

confidence: 99%

Integrating Interval Type-2 Fuzzy Logic and Modified Dingo optimization for Node Ranking and Energy Efficient MANET

Mamatha

¹

,

Ramakrishna

²

2022

Preprint

0

View full text Add to dashboard Cite

The mobile ad hoc network (MANET) network is mainly formed by interconnected wireless mobile devices with restricted residual battery power which necessitates the need for an energy-efficient design. The MANET routing protocol mainly improves the network lifetime through efficient energy utilization. To improve the network lifetime, an optimized link-state routing (OLSR) protocol is formed by integrating the Interval Type-2 Fuzzy Logic Controller and Modified Dingo optimization (MDO) (IT2FLC-MDO) algorithm. The IT2FLC-MDO algorithm designed for the OLSR protocol formulates the routing issue as an optimization problem. The heterogeneous nature of the mobile nodes also affects the efficiency of the routing scheme. The energy-aware Quality of Service (EQoS) features are incorporated by the IT2FLC-MDO algorithm to enhance the OLSR protocol efficiency. The different EQoS features are the node speed, queue length, distance, lifetime, remaining battery capacity, etc. A multicriteria node Rank Metric (MCNR) is computed for the EQoS features to minimize the overhead complexity associated with broadcasting different EQoS features separately. The experiments are conducted using the ns2 simulator via different performance metrics such as end-to-end delay, packet delivery ratio, normalized control overhead, energy computation, and message success rate. The simulation results show that the proposed IT2FLC-MDO protocol improves the MANETS lifetime and also the consistency in data delivery.

show abstract

Energy Sensitive Cluster Level Security Selection Scheme for MANET

Cited by 6 publications

References 4 publications

An Energy Efficient Model for Node Ranking and Routing path Computation using Optimal Type-2 Fuzzy Logic Controller

An Energy Efficient Model for Node Ranking and Routing path Computation using Optimal Type-2 Fuzzy Logic Controller

Integrating interval type‐2 fuzzy logic and modified dingo optimization for node ranking and energy efficient MANET

Integrating Interval Type-2 Fuzzy Logic and Modified Dingo optimization for Node Ranking and Energy Efficient MANET

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