Clustering approach using node mobility in Wireless Sensor Networks

Belabed, Fatma; Boouallegue, Ridha

doi:10.1109/iwcmc.2017.7986420

Cited by 7 publications

(2 citation statements)

References 13 publications

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“…In addition, we consider that all SNs have a static speed that is fixed at the beginning of the simulation. To calculate the mobility level [43], we used (6), which measures the difference between the latest and previous SN positions.…”

Section: G Mobilitymentioning

confidence: 99%

Dual-Tier Cluster-Based Routing in Mobile Wireless Sensor Network for IoT Application

2023

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Mobile wireless sensor network (MWSN) technology is a fundamental element of the Internet of Things (IoT) in which hundreds to thousands of sensor nodes (SNs) are connected via wireless channels capable of providing a digital interface to real-life objects. Energy consumption, connectivity, scalability, and security are the main challenges in MWSN, and mobility increases the effort required to find an efficient routing protocol to improve the MWSN performance. In this paper, we propose a novel routing protocol based on the dual-tier clustering concept and virtual network zones to improve MWSN performance. The proposed protocol named "Dual Tier Cluster-Based Routing" (DTC-BR) divides the network area into virtual zones which a cluster-head mechanism selects the most appropriate SN to act as Cluster Head (CH). Furthermore, virtual zones are designed to cover the entire network area based on a dual-tier routing mechanism: the main connectivity zone (MCZ) and candidate cluster zone (CCZ). The DTC-BR protocol was deployed and assessed using MATLAB, assuming three levels: energy consumption, network lifetime, and scalability. The comparative results demonstrate the efficiency of DTC-BR, where the network lifetime increased by 6%, 21%, 25%, and 37% compared to state-of-the-art dynamic directional routing (DDR), mobility-aware centralised clustering algorithm (MCCA), low-energy adaptive clustering hierarchy-mobile energy efficient and connected (LEACH-MEEC), and low-energy adaptive clustering hierarchy mobile (LEACH-M) protocols, respectively. In addition, the simulation results show that DTC-BR is more efficient for large network sizes and a high number of SNs.INDEX TERMS Mobile Wireless Sensor Network (MWSN), cluster-based routing, Cluster Head (CH), virtual zone, energy-efficient

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Section: G Mobilitymentioning

confidence: 99%

Dual-Tier Cluster-Based Routing in Mobile Wireless Sensor Network for IoT Application

2023

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“…The mobility level of a node can be calculated by measuring the difference between the previous and new position of the node. The following Equation is used to find out the level of mobility [34]:…”

Section: F: Mobilitymentioning

confidence: 99%

An Energy-Efficient Mobility-Based Cluster Head Selection for Lifetime Enhancement of Wireless Sensor Networks

et al. 2020

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Wireless based sensor networks contain sensors for environment monitoring but have restricted resources. Many clustering protocols are designed to prolong network lifetime but have problems of inadequate cluster head selection criteria, fixed clustering, and static rounds which consume more energy. It is needed to develop an adaptive clustering strategy for better CH selection and load balancing. In this article, we introduced an energy-efficient mobility based cluster head selection mechanism to overcome these limitations. CH selection is based on dedicated parameters that have a huge impact on the sensor energy consumption. The weightage of each node is calculated on the base of the node's mobility level, residual energy, distance to sink, and density of neighbors. Inter-cluster communication uses single-hop/multi-hop. MATLAB is used to perform simulations. Results show that the proposed approach EEMCS performs better as compared to the existing algorithms CRPD, LEACH, and MODLEACH in terms of load balancing, network stability, energy depletion, and throughput. Energy utilization in the case of EEMCS is much less and the network lifetime is greater than other existing protocols.

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A Survey on Mobility Driven Clustering Techniques for Wireless Sensor Networks

Jadhav¹,

Sirsikar²

2018

International Conference on Intelligent Data Communication Technologies and Internet of Things (ICICI) 2018

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Clustering approach using node mobility in Wireless Sensor Networks

Cited by 7 publications

References 13 publications

Dual-Tier Cluster-Based Routing in Mobile Wireless Sensor Network for IoT Application

Dual-Tier Cluster-Based Routing in Mobile Wireless Sensor Network for IoT Application

An Energy-Efficient Mobility-Based Cluster Head Selection for Lifetime Enhancement of Wireless Sensor Networks

A Survey on Mobility Driven Clustering Techniques for Wireless Sensor Networks

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