A Cluster-Based Reliable Token Circulation Scheme for Group Communication in MANET

Subathra, P.; Krishnan, P. Radha; Sivagurunathan, S.

doi:10.1007/s13369-012-0195-4

Cited by 7 publications

(11 citation statements)

References 15 publications

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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%

“…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], [28], [29], [32], [43], [46], [48], [50], [52]- [55], [58]- [63], [65], reactive clustering [31], [36], [37], [40], [42], [47], [49], [51], [56], [57],…”

Section: How To Classify Clustering Schemes?mentioning

confidence: 99%

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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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Section: How To Classify Clustering Schemes?mentioning

confidence: 99%

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

View full text Add to dashboard Cite

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“…The lifetime of the network can be increased by distributing the load equally among all nodes. In the work by Subathra et al, 12 a token passing mechanism for group communication is used along with minor CH. In this scheme, principal CH is elected based on node's mobility and its degree of connectivity, while the minor CH is also selected to help the principle CH for carrying some unimportant activities.…”

Section: Load Balancingmentioning

confidence: 99%

“…Node degree is an important parameter in a cluster-based routing and is not considered by Chatterjee et al, 14 and Sinha et al 22 Irrespective of node mobility, the neighbor quality which is described in section ''Proposed honey bee algorithm-based clustering'' is not considered in many studies. [11][12][13][14][15][16][17][18][19][20][21][22][23] In our proposed scheme, multi-objective function is optimized using the parameters such as node degree, node remaining power, relative mobility (speed and direction), and neighbor quality.…”

Section: Selected Clustering Schemesmentioning

confidence: 99%

Honey bee algorithm–based efficient cluster formation and optimization scheme in mobile ad hoc networks

Ahmad

Ikram

Lela

et al. 2017

International Journal of Distributed Sensor Networks

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In mobile ad hoc networks, topology changes very frequently due to node's mobility. Frequent change in topology increases traffic signaling that may arise energy and scalability issue. Cluster-based routing is the energy-efficient technique in mobile ad hoc networks to address the scalability issue and to minimize control messages. In this article, honey bee algorithm is used for dividing the mobile ad hoc network nodes into different clusters. The bees work to gather in groups to perform their activities. The proposed honey bee algorithm-based clustering forms clusters in an efficient manner with fewer resources such as energy and bandwidth utilization. A node is selected as cluster head based on node degree, neighbor's behavior, mobility direction, mobility speed, and remaining energy. Due to the efficient nature of bees and maximum parameter's consideration, the proposed technique inspired from the foraging behavior of honey bees gives efficient and stable cluster formation. The control message overhead is also avoided. The work is validated mathematically, and simulation has been performed for different scenarios. Simulation results are compared with existing clustering schemes. The simulation results show that the honey bee algorithm-based clustering technique used for clustering outperforms the existing schemes under consideration.

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“…Subathra et al presented a novel token circulation scheme using an adaptive clustering algorithm. Katal et al introduced an efficient clustering technique for the election of CH and super CH. Wang and Hung applied probabilistic analysis and scattered search for the formation of reliable clusters in MANET.…”

Section: Related Workmentioning

confidence: 99%

An energy‐efficient clustering approach for collaborative data forwarding in heterogeneous MANET

Mohindra

Gandhi

2017

Int J Communication

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Mobile ad hoc network consists of a group of mobile nodes that can communicate with each other without any infrastructure. Clustering of the mobile nodes ensures efficient use of available bandwidth and high network throughput. Various clustering schemes are developed to improve the energy efficiency and lifetime of the network. However, there is an increase in the energy consumption with the increase in the number of clusters for forwarding data. This paper presents an energy-efficient clustering approach for collaborative data forwarding in mobile ad hoc network. The cluster head (CH) is selected based on the processing capability of the nodes and link connection metrics. The CH receives the data from the server and forwards the data to the member nodes at a corresponding data rate of the nodes. Data offloading technique manages the data traffic in the network. The CH rejoining approach enables load balancing in the network. The proposed clustering approach achieves a significant reduction in the energy consumption and data traffic and improvement in the throughput rate through stable routing.KEYWORDS clustering, collaborative data forwarding, data offloading, data traffic management, mobile ad hoc network (MANET) | INTRODUCTIONMobile ad hoc network (MANET) is a self-configuring network of mobile nodes that are connected through wireless links. In this type of network, each device acts as a host as well as a router. Moreover, it can be quickly deployed and reconfigured, even the communication infrastructure is unavailable. The MANET faces many challenges such as the mobility of the hosts, dynamic topology, multi-hop transmission, limited bandwidth, and battery power. Figure 1 shows the heterogeneous MANET architecture that includes various mobile devices with diverse communication capabilities. The range of radio communication, battery lifetime, and the data transmission rate are the major communication capabilities. The limited amount of mobile devices participation in heterogeneous network has the lowest communication capabilities. The important consideration to construct the heterogeneous MANET is the minimum power consumption and improves the lifetime of the network. The assignment of routing load to the powerful nodes with the necessary communication capabilities depends on the heterogeneity nature. The main focus in the design of the ad hoc networks is the development of a dynamic routing protocol to find an efficient communication path between 2 nodes. For energyefficient routing and organized data communication, the network is distributed into controllable entities called as clusters. Inside the cluster, the node that coordinates or controls the cluster activities is called as cluster head (CH). The CH provides all the services to the other nodes. Rest of the nodes in the cluster is known as cluster member nodes.Each member node has direct access to the CH to forward the data to the CH. The CH forwards the data from the

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A Cluster-Based Reliable Token Circulation Scheme for Group Communication in MANET

Cited by 7 publications

References 15 publications

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

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

Honey bee algorithm–based efficient cluster formation and optimization scheme in mobile ad hoc networks

An energy‐efficient clustering approach for collaborative data forwarding in heterogeneous MANET

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