A Preference-Based Protocol for Trust and Head Selection for Cluster-Based MANET

Rajkumar, M.; Sankaranarayanan, Subramanian K. R. S.

doi:10.1007/s11277-015-3010-1

Cited by 15 publications

(11 citation statements)

References 29 publications

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“…The difficulties in implementation and debugging routing protocols in real networks, raises the necessity to consider simulations as a fundamental design tool. The main advantage of simulation is simplifying analysis and protocol verification, mainly in large-scale systems [20][21][22][23][24][25][26][27][28][29][30][31][32][33]. It is possible to employ a NAM in the NS-2 to visualize the results.…”

Section: B Simulation Setup and Comparing Algorithmsmentioning

confidence: 99%

An Efficient Cluster-based Routing Protocol for Improvement Delay in Mobile Ad-hoc Networks

Najafi¹,

Aghaei²

2020

Preprint

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Cluster-based routing in Mobile Ad-Hoc Networks is considered one of the convenient methods of routing. The existence of Cluster Head (CH) in a group of nodes for data forwarding improves the performance of routing in terms of routing overhead and power consumption. In this paper, a clustering algorithm using hierarchical routing for mobile ad hoc networks is proposed. In the proposed method, first, clusters are formed by the FLOC clustering method with low overlapping. Then, according to the most important network criteria, including hop count, noise ratio, distance, remaining energy, and link expiration time, head clusters are selected based on the weighting algorithm. To transfer data in the proposed method, two types of communication are used, e.g., inter-cluster communication and intra-cluster communication in which the shortest path to the target cluster is selected. The proposed P-METHOD technique is based on hierarchy and clustering as well as using a weighted algorithm that reduces delay in data transmission on the network. Moreover, P-METHOD is evaluated here via extensive simulations carried out in NS-2. The simulation results indicate that the MANET network performance metrics are improved in terms of average throughput, Packet Delivery Ratio (PDR), delay, residual energy, and lifetime.

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Section: B Simulation Setup and Comparing Algorithmsmentioning

confidence: 99%

An Efficient Cluster-based Routing Protocol for Improvement Delay in Mobile Ad-hoc Networks

Najafi¹,

Aghaei²

2020

Preprint

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“…It may be classified as one hop clustering [25], [29], [30], [40], [45]- [53], multi hop clustering [28], [31], [34]- [36], [39], [42], [43], [54], [55], transmission range or signal strength based clustering [32], [33], [56]- [58] and zone based clustering [38]. MANETs can be classified based on a mobility model such as group mobility [51], [56], [59], [60], regular mobility [46] and random mobility [25], [28], [29], [31], [34], [35], [39], [40], [42], [44], [45], [48], [50], [52], [53], [55], [58], [61]- [64]. The nature of events that take place in MANETs has a very strong impact on clustering process and the clustering process can be classified into proactive clustering [25], [26],…”

Section: How To Classify Clustering Schemes?mentioning

confidence: 99%

State-of-the-Art Clustering Schemes in Mobile Ad Hoc Networks: Objectives, Challenges, and Future Directions

et al. 2019

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Mobile ad hoc networks (MANETs) are self-organized networks without any fixed infrastructure. The topology changes are very frequent in MANETs due to nodes' mobility. The topology maintenance creates an extra overhead, as the mobility information of a single node is shared with all nodes in the network. To address the topology maintenance overhead problem in MANETs, the researchers proposed different cluster-based algorithms to reduce the size of a routing table. The clusters are formed to locally adjust the topology changes within the cluster. If a node wants to communicate with a node outside the cluster, it only communicates with its cluster head (CH). The CH communicates with other CHs to transmit data toward the destination. To efficiently utilize the clustering mechanism in MANETs, stable and balanced clusters are required. To form good quality and optimized clusters, some metrics, such as relative mobility (node speed and direction), node degree, residual energy, communication workload, and neighbor's behavior, are required. In this paper, we present a comprehensive survey of recent CAs in MANETs. We also present the objectives, goals, and contributions of recent research. Similarly, the findings, challenges, and future directions are stated. The validation of each proposed work is analyzed critically in terms of the mobility model, the simulation tool used during simulation, simulation metrics, and the performance metrics used in the validation process. INDEX TERMS MANETs, clustering algorithms, routing, cluster based MANET.

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“…The values for the weights are purely decided by the empirical way. At the same time, they are decided by MANET application and QoS parameters that a user would give higher priority [24].…”

Section: Trust Updatementioning

confidence: 99%

An Efficient Trust-Based Scheme for Secure and Quality of Service Routing in MANETs

Pathan

Zhu

et al. 2018

Future Internet

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Due to the dynamism of topology, sharing of bandwidth and constraint of resources in wireless nodes, the provision of quality of service (QoS) for routing in mobile ad hoc networks (MANETs) presents a great challenge. Security is another crucial aspect of providing QoS since the existence of malicious nodes present all kinds of threats to MANETs. Although a number of mechanisms have been proposed for protecting MANETs, most of the solutions are only effective for a particular kind of attacks or provide security at the cost of sacrificing QoS. In this paper, we propose a trust-based secure QoS routing scheme by combining social and QoS trust. The primary approach of the proposed scheme relies on mitigating nodes that exhibit various packet forwarding misbehavior and on discovering the path that ensures reliable communication through the trust mechanism. The scheme would select the best forwarding node based on packet forwarding behavior as well as capability in terms of QoS parameters, such as residual energy, channel quality, link quality, etc. We will present an adversary model for packet dropping attack against which we evaluate the proposed scheme. Simulation experiment using Network Simulator-2 (NS2) and under various network conditions show that mixing social and QoS trust parameters can greatly improve security and quality of service routing in terms of overhead, packet delivery ratio and energy consumption.

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A Preference-Based Protocol for Trust and Head Selection for Cluster-Based MANET

Cited by 15 publications

References 29 publications

An Efficient Cluster-based Routing Protocol for Improvement Delay in Mobile Ad-hoc Networks

An Efficient Cluster-based Routing Protocol for Improvement Delay in Mobile Ad-hoc Networks

State-of-the-Art Clustering Schemes in Mobile Ad Hoc Networks: Objectives, Challenges, and Future Directions

An Efficient Trust-Based Scheme for Secure and Quality of Service Routing in MANETs

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