A Survey on One-Hop Clustering Algorithms in Mobile Ad Hoc Networks

Chinara, Suchismita; Rath, Santanu Kumar

doi:10.1007/s10922-009-9123-7

Cited by 109 publications

(57 citation statements)

References 26 publications

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“…A clustering scheme divides the sensor nodes in a WSN into different virtual groups, according to some set of rules. In a cluster structure, sensor nodes may be assigned a different status or function, such as cluster head or cluster member [21]. We can see in the Figure 1.2, the architecture of a generic WSN, and examine how clustering is an essential part of the organizational structure [5].…”

Section: Clustering In Wsnsmentioning

confidence: 99%

An Improved Cluster Head Election Technique in Wireless Sensor Networks

Garg¹

2017

IJRASET

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A wireless sensor network is an autonomous system of sensor nodes. It has a Base Station and sensor nodes. Sensor nodes collect data from their environment and send it to the Base Station. Heterogeneous sensor network contains high energy sensor nodes as well as low energy nodes. A single-tier network can cause the gateway to overload with the increase in sensors density. Such overload might cause latency in communication and inadequate tracking of events. In addition, the single-tier architecture is not scalable for a larger set of sensors covering a wider area of interest because the sensors are typically not capable of long-haul communication. Hierarchical clustering is particularly useful for applications that require scalability to hundreds or thousands of nodes. Scalability in this context implies the need for load balancing and efficient resource utilization. All nodes in a network can be organized in hierarchical structures called clusters. Each cluster consists of a cluster head and several member nodes. The election of cluster head by normal nodes is a tedious task. Using Fuzzy Logic this task can be done easily. So Fuzzy is used for cluster head election. The member nodes collect data and send it to their cluster heads. The cluster head aggregates and transmits the data to the Base Station. The energy consumption of cluster heads is higher than that for member nodes. Clustering algorithms are required which can efficiently utilize the energy of nodes so that life of network can be increased

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Section: Clustering In Wsnsmentioning

confidence: 99%

An Improved Cluster Head Election Technique in Wireless Sensor Networks

Garg¹

2017

IJRASET

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“…This detail makes a straightforward comparison with other cluster-based solutions in the literature (e.g., the Mesh Cluster Based Routing Protocol (MCBRP) [19]) pointless. Nonetheless, the clustering concept is important to understand our proposed scheme; interesting surveys can be found in [18,[20][21][22][23][24].…”

Section: Related Workmentioning

confidence: 99%

DCRP: a scalable path selection and forwarding scheme for IEEE 802.11s wireless mesh networks

Sampaio

Souto

Vasques

2015

J Wireless Com Network

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The IEEE 802.11s standard specifies a mesh technology to be supported by IEEE 802.11 devices. Among the limitations caused by this heritage, we focus on the low scalability of the current IEEE 802.11s standard mechanisms. As a main contribution to the related research field, this article presents the DHT-based Cluster Routing Protocol (DCRP). DCRP addresses IEEE 802.11s' scalability issues by exploiting both Distributed Hash Tables and Clustering schemes, which have proved to be effective in scaling wireless (e.g., MANETs) and wired (e.g., P2P) networking systems. DCRP was implemented and compared with the HWMP through simulation for different scalability parameters and performance metrics. Simulation results indicate that the proposed scheme improves performance in terms of packet delivery ratio, end-to-end delay, throughput, and overhead.

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“…Gomez (2007) had presented a study regarding the transmission range adopted for mobile ad hoc networks. Chinara and Rath (2009) survey the different method of clustering for one-hop ad hoc networks. Basagni et al (2004) presented about the different methods of power conservation in mobile ad hoc networks.…”

Section: Related Workmentioning

confidence: 99%

Intellisense Cluster Management and Energy Efficient Routing in Mobile Ad Hoc Networks

Kuppusamy¹

2013

Journal of Computer Science

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Mobile Ad Hoc Network (MANET) is a collection of distributed nodes which communicate using multihop wireless links with frequent node mobility. The aim for ad hoc networks is to accommodate lightweight weight, battery supercharged transportable devices. Due to the restricted power, we've to vogue economical ways in which to use the current power. For a networking device, vital power is consumed for communications and additional specifically for transmissions. A first step towards economical utilization of power is to take care of the topology and manage the transmission range. For maintaining the topology a new clustering scheme is developed considering the cluster coefficient and degree of the nodes. The transmission ranges of the nodes are controlled for avoiding more power consumption. The proposed intellect clustering algorithm is compared with one of the distributed weighted clustering algorithm. The method of clustering is more efficient to the latter and the variable transmission range is adopted to control the utilization of power. The proposed method improves the modeling of ad hoc networks and the serves as good foundation for formation of ad hoc networks.

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A Survey on One-Hop Clustering Algorithms in Mobile Ad Hoc Networks

Cited by 109 publications

References 26 publications

An Improved Cluster Head Election Technique in Wireless Sensor Networks

An Improved Cluster Head Election Technique in Wireless Sensor Networks

DCRP: a scalable path selection and forwarding scheme for IEEE 802.11s wireless mesh networks

Intellisense Cluster Management and Energy Efficient Routing in Mobile Ad Hoc Networks

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