A new multi-objective distributed fuzzy clustering algorithm for wireless sensor networks with mobile gateways

Abdolkarimi, Maryam; Adabi, Sepideh; Sharifi, Arash

doi:10.1016/j.aeue.2018.03.020

Cited by 22 publications

(19 citation statements)

References 23 publications

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“…In [4], the MDC visits all sensor nodes deployed in the network, this conserves efficiently the energy of sensor nodes, however the long constructed path could not be supported by the MDC. A solution was proposed in previous works aiming to adopt multiple MDCs [12] [13].…”

Section: Related Workmentioning

confidence: 99%

An Efficient Mobile Data Gathering Method with Tree Clustering Algorithm in Wireless Sensor Networks Balanced and Unbalanced Topologies

Meddah

HADDAD²,

EZZEDDINE

2021

Preprint

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Mobile Data Collector device (MDC) is adopted to reduce the energy consumption in Wireless Sensor Networks. This device travels the network in order to gather the collected data from sensor nodes. This paper presents a new Tree Clustering algorithm with Mobile Data Collector in Wireless Sensor Networks, which establishes the shortest travelling path passing throw a subset of Cluster Heads (CH). To select CHs, we adopt a competitive scheme, and the best sensor nodes are elected according to the number of packets forwarded between sensor nodes, the number of hops to the tree’s root, the residual energy, and the distance between the node and the closest CH. In simulation results, we adopt the balanced and unbalanced topologies and prove the efficiently of our proposed algorithm considering the network lifetime, the fairness index and the energy consumption in comparison with the existing mobile data collection algorithms.

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Section: Related Workmentioning

confidence: 99%

An Efficient Mobile Data Gathering Method with Tree Clustering Algorithm in Wireless Sensor Networks Balanced and Unbalanced Topologies

Meddah

HADDAD²,

EZZEDDINE

2021

Preprint

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“…Primarily, the data packet is forwarded to a single sink via multi-hop communication in WSN. The hops in the neighborhood of that sink get actively engaged in forwarding the data packet (Abdolkarimia et al , 2018). The sensor node which is a single hop before the sink that transmits all the data packets to the sink is called a hotspot node .…”

Section: Problem Statement and Related Workmentioning

confidence: 99%

“…Basically, the fuzzy logic system consists of four blocks such as Fuzzification, Rule estimation, Fuzzy Evaluation Block (FEB) , and Defuzzification. Here, Mamdani’s Method (Abdolkarimia et al , 2018) is a commonly preferred technique for fuzzification. Four major steps are necessary to complete the selection process of SLZ.…”

Section: The Proposed Zone-based Sink Mobilitymentioning

confidence: 99%

Zone-based sink mobility in wireless sensor networks

Prasanth

Pavalarajan

2019

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Purpose The purpose of this paper is to enhance the network lifetime of WSN. In wireless sensor network (WSN), the sensor nodes are widely deployed in a terrestrial environment to sense and evaluate the physical circumstances. The sensor node near to the sink will deplete more energy faster than other nodes; hence, there arises an energy hole and network partitioning problem in stationary sink-based WSN. Even though many mobile sink-based WSN is formulated to mitigate energy hole, inappropriate placement of sink leads to packet drop and affect the network lifetime of WSN. Therefore, it is necessary to have an efficient sink mobility approach to prevent an aforesaid problem. Design/methodology/approach In this paper, zone-based sink mobility (ZBSM) approach is proposed in which the zone formation along with controlled sink mobility is preferred for energy hole mitigation and optimal sink node placement. In ZBSM, the sink decides to move toward strongly loaded zone (SLZ) for avoiding network partitioning problems where the selection of SLZ can be carried out by using Fuzzy Logic. Findings The performance results confirm that the proposed scheme reduces energy consumption as well as enhances the network lifetime compared with an existing scheme. Originality/value A new optimal sink node placement is proposed to enhance the network lifetime and packet delivery ratio of WSN.

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“…According to the existing research, there are two approaches for the selection of CHs in WSN. In the self-organization technique [7], sensor nodes make their own decision and set up their status to become a normal node or a CH node, according to the weight, the residual energy and the position of sensors in the network. In this case, sensor nodes have to communicate with each other to avert the election of more than one CH in each cluster and minimize the number of packets to transmit.…”

Section: Introductionmentioning

confidence: 99%

Increase of the Lifetime of Wireless Sensor Network using Clustering Algorithm and Optimal Path Selection Method

Jlassi¹,

Haddad²,

Bouallegue³

et al. 2022

RADIOENGINEERING

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By the recent improvement of the internet of things (IoT), the need to implement wireless networks is increasing. It is a challenge to balance between battery lifetime of the different sensors and network lifetime. Many studies proved the importance of using clustering and Mobile Data Collectors (MDCs) to extend the operating time of sensor nodes. A mobile data collector is used to gather the data recorded by the nodes over a short transmission range. The proposed approach aims to decrease the energy consumption of each sensor node by using the Genetic Algorithm (GA) and mobile data collector. So, we suggest a clustering algorithm to find suitable Cluster Heads and form clusters. Then, we employ the genetic algorithm to construct an optimal data gathering path for MDC. Computer simulation proves that the proposed approach outperforms existing ones.

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A new multi-objective distributed fuzzy clustering algorithm for wireless sensor networks with mobile gateways

Cited by 22 publications

References 23 publications

An Efficient Mobile Data Gathering Method with Tree Clustering Algorithm in Wireless Sensor Networks Balanced and Unbalanced Topologies

An Efficient Mobile Data Gathering Method with Tree Clustering Algorithm in Wireless Sensor Networks Balanced and Unbalanced Topologies

Zone-based sink mobility in wireless sensor networks

Increase of the Lifetime of Wireless Sensor Network using Clustering Algorithm and Optimal Path Selection Method

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