Min-Distance Hop Count based Multi-Hop Clustering In Non-uniform Wireless Sensor Networks

Kim, Eunju; Kim, Dongjoo; Park, Junho; Seong, Dong-Ook; Lee, Byung-yup; Yoo, Jaesoo

doi:10.5392/ijoc.2012.8.2.013

Cited by 4 publications

(3 citation statements)

References 8 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Consequently, from among the member's other SN nodes, the CH node has to be chosen and substituted. All cluster member nodes' battery lives will be shortened if this operation occurs often [2]. A shorter head node replacement interval will result in a lower cluster lifespan and, ultimately, a shorter network lifetime [3,4].…”

Section: Introductionmentioning

confidence: 99%

Sensor Node Grouping for Energy Efficient Clustering in Wireless Sensor Networks

2024

nano-ntp

View full text Add to dashboard Cite

The sensors that consist of a wireless sensor network are massively deployed and operate in unattended environments and harsh natural conditions with restricted battery power supply. It is important to extend the life of the sensors that make up the wireless sensor network. Data is gathered by sensor nodes within a cluster group and forwarded to the cluster's head (CH) node. However, transmission of packets among sensor nodes as well as CH nodes may not succeed if a cluster group is big and the distance from each other to the CH is great. Communication connection failure results in a lot of power loss due to continuous connection attempts. In this paper, a group of clusters of a suitable size is formed on a two-dimensional plane so that the distance between the sensor node and the CH node is not more than an appropriate range, so that cluster uniformity is possible. By communicating with the closest sensor node, sensor nodes were linked to create member nodes in order to guarantee cluster size homogeneity. Adjacent nodes were then grouped together to form clusters. By allowing only the closest sensor nodes that are within the mutual attraction range to be included as cluster members, adjacent sensor nodes that are out of the attraction range will form a new cluster. Based on the formed clusters, we applied multi-hop routing techniques to extend the battery power lifespan of the sensors. In this research, we examined the sensor nodes' power consumption for a one-hop clustering strategy based on a single unit of distance using the suggested cluster uniformity algorithm. Simulation results demonstrated the cluster equalization improvement rate. A network homogeneity improvement of around 20% was attained as a result of cluster homogenization.

show abstract

Section: Introductionmentioning

confidence: 99%

Sensor Node Grouping for Energy Efficient Clustering in Wireless Sensor Networks

2024

nano-ntp

View full text Add to dashboard Cite

show abstract

“…When the CH node's battery is depleted, the CH node must be selected and replaced from among the other SN nodes in the cluster. If this process occurs frequently, the battery life of all member nodes in the cluster is reduced [7]. When a CH node's battery is depleted, it cannot collect data from its member sensors or transmit it to its destination.…”

Section: Introductionmentioning

confidence: 99%

Clustering Uniformity Methods for Energy Efficiency in Wireless Sensor Networks

Lee

2024

JMC

View full text Add to dashboard Cite

The wireless sensors that make up a wireless sensor network (WSN) are randomly deployed in nature and cannot be artificially replaced when their batteries are depleted. Failure of communication connection between wireless sensors causes continuous connection attempts, which results in a lot of power dissipation and shortens the lifetime of the WSN. In this paper, we propose to extend the lifetime of WSNs by limiting the appropriate distance between the cluster head (CH) node and the communicating sensor nodes (SNs) so that a group of clusters of appropriate size can be formed on a two-dimensional plane. To equalize cluster size, sensor nodes with the shortest distance communicate with each other to form member nodes, and nodes with closer distances are bring together to form clusters. The simulation results show the improvement rate of cluster uniformity over the shortest distance-based clustering method for clustering based on the proposed cluster uniformity algorithm. The proposed method can improve the cluster uniformity of the network by about 20%. In addition, the power consumption of the proposed method is analyzed according to the difference in the density of sensor nodes in the cluster groups to examine the improvement in power consumption.

show abstract

“…Cluster head (CH) nodes in uneven clusters increase energy consumption, which causes unbalanced energy consumption in the sensor network, thereby shortening network lifetime. [7] When a CH node is powered off, it cannot send data packets to other nodes. Therefore, one of the other head nodes should act as the new cluster node for…”

Section: Introductionmentioning

confidence: 99%

Energy-Efficient Clustering Scheme in Wireless Sensor Network

Lee¹

2018

IJGDC

View full text Add to dashboard Cite

Hierarchical clustering algorithms have been proposed to minimize energy consumption by sensor nodes under power constraints in a wireless sensor network. However, previously reported methods such as backbone construction algorithms consume energy quickly at the cluster head nodes. A cluster head node must therefore be changed periodically by election among the available sensor nodes, to transfer aggregated data from one cluster head node to another for as long as possible. This study investigates the clustering algorithm and cluster head election methodology among sensors to efficiently control energy consumption. This paper presents comparison results between the conventional and proposed schemes of clustering algorithms.

show abstract

Min-Distance Hop Count based Multi-Hop Clustering In Non-uniform Wireless Sensor Networks

Abstract: In

Cited by 4 publications

References 8 publications

Sensor Node Grouping for Energy Efficient Clustering in Wireless Sensor Networks

Sensor Node Grouping for Energy Efficient Clustering in Wireless Sensor Networks

Clustering Uniformity Methods for Energy Efficiency in Wireless Sensor Networks

Energy-Efficient Clustering Scheme in Wireless Sensor Network

Contact Info

Product

Resources

About