WPO-EECRP: Energy-Efficient Clustering Routing Protocol Based on Weighting and Parameter Optimization in WSN

Han, Guanghui; Zhang, Licui

doi:10.1007/s11277-017-4914-8

Cited by 58 publications

(33 citation statements)

References 22 publications

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“…Weighting and Parameter Optimization‐based Energy‐Efficient Clustering Routing Protocol (WPO‐EECRP) is proposed for obtaining an improved energy neighbor count, hop counts and interdistances between the base station and each sensor node in the network 19 . The proposed WPO‐EECRP utilizes weight coefficient and neighbor communication for facilitating the process of optimizing clusters in the network.…”

Section: Related Workmentioning

confidence: 99%

An Energy‐Proficient Clustering‐Inspired Routing Protocol using Improved Bkd‐tree for Enhanced Node Stability and Network Lifetime in Wireless Sensor Networks

Janakiraman¹,

Priya

2020

Int J Communication

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Energy conservation in Wireless Sensor Networks (WSNs) is essential for improving the stability of sensor nodes and network lifetime. An energyproficient clustering-based routing protocol is necessary for efficient cluster formation and Cluster Head (CH) selection to sustain Quality of Service (QoS). In this paper, an Improved Bkd-Tree-Inspired Energy-eFficient Clusteringbased Routing Protocol (IBkd-Tree-IEFCRP) is propounded as a potential strategy for guaranteeing significant cluster formation and management. It is proposed as an effective strategy in CH node allocation that handles the impacts of QoS during the process of data dissemination. This IBkd-Tree-IEFCRP is proposed to deal with energy saving with respect to data traffic by including a strategy of cluster formation which incorporates the benefits of partition data structure that incorporates animprovedBkd-treealgorithm.Italsoconcentrates ontheprocessofCHselection by integrating a reactive approach that enhances throughput with minimized energy, delay and jitter. The simulation experiments of the proposed IBkd-Tree-IEFCRP confirm a better performance in improving the average throughput by 13.21%, reducing the energy consumptions by 12.96%, minimizing the delay by 11.98% and reducing the jitter by 14.24% when compared to the baseline kdimensional tree algorithm (kd-tree algorithm), Weighting and Parameter Optimization-based Energy-Efficient Clustering Routing Protocol (WPO-EECRP), Improved Clustering by Fast Search and Finding of Density Peaks (ICFSFDP), and Energy-based Cluster Centered Routing Protocol (ECCRP) taken for comparison. The proposed IBkd-Tree-IEFCRP is also identified to reduce delay by 8.42% and jitter by 7.18% and increase throughput by 6.84% when compared to the benchmarked protocols for different number of rounds.

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Section: Related Workmentioning

confidence: 99%

An Energy‐Proficient Clustering‐Inspired Routing Protocol using Improved Bkd‐tree for Enhanced Node Stability and Network Lifetime in Wireless Sensor Networks

Janakiraman¹,

Priya

2020

Int J Communication

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“…The selection of CH nodes is based on the distribution of the circular areas, the residual energy of the nodes, the distance from the nodes to the BS, and the number of neighbor nodes covered in the communication range. The distribution of CH nodes directly selected by multi-objective functions [37] may be too dense or too sparse. In addition, the circular areas close to the BS are smaller than the ones farther away from the BS, which is beneficial to balance the energy consumption of the network.…”

Section: Proposed Algorithmmentioning

confidence: 99%

A PSO-Based Uneven Dynamic Clustering Multi-Hop Routing Protocol for Wireless Sensor Networks

Ruan

Huang

2019

Sensors

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Since wireless sensor networks (WSNs) are powered by energy-constrained batteries, many energy-efficient routing protocols have been proposed to extend the network lifetime. However, most of the protocols do not well balance the energy consumption of the WSNs. The hotspot problem caused by unbalanced energy consumption in the WSNs reduces the network lifetime. To solve the problem, this paper proposes a PSO (Particle Swarm Optimization)-based uneven dynamic clustering multi-hop routing protocol (PUDCRP). In the PUDCRP protocol, the distribution of the clusters will change dynamically when some nodes fail. The PSO algorithm is used to determine the area where the candidate CH (cluster head) nodes are located. The adaptive clustering method based on node distribution makes the cluster distribution more reasonable, which balances the energy consumption of the network more effectively. In order to improve the energy efficiency of multi-hop transmission between the BS (Base Station) and CH nodes, we also propose a connecting line aided route construction method to determine the most appropriate next hop. Compared with UCCGRA, multi-hop EEBCDA, EEMRP, CAMP, PSO-ECHS and PSO-SD, PUDCRP prolongs the network lifetime by between 7.36% and 74.21%. The protocol significantly balances the energy consumption of the network and has better scalability for various sizes of network.

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“…Sensor nodes will mostly lose energy after receiving and transmitting data most of the times because nodes can be deployed with initial energy only once and cannot be charged up.The primary function of nodes is to accumulate information from various nodes and transmit it to a main unit known as sink to be collected [2]. WSN has now been frequently used for the defense department security, agricultural and industrial pollution management, biological healthcare facilities, remote surveillance of the high risk area and several other essential areas, the eventual commercial application has bring tremendous ease to individuals [3]. In wireless sensor networks (WSNs), the coverage problem is termed as a measure of how well a sensor nodes is monitored the network field.…”

Section: Introductionmentioning

confidence: 99%

“…The clustering protocol divides the network into several clusters, each of which has a cluster head (CH) and various cluster members (CMs) as shown in figure 2 [37]. The CH is capable of collecting and processing the information acquired by the CMs, and sending the grafted data to the sink node [3]. Clustering protocol investigations has kept going, focusing on the cluster head selection technique, because CH selection has a direct impact on network energy consumption.…”

Section: Introductionmentioning

confidence: 99%

Mobile Sink in Fuzzy Logic and Meta-heuristic Firefly Algorithm based Routing Scheme to Extend Network Lifetime of WSN (MSFLMFLA)

Navghare

Pandey

Agrawal

2021

Preprint

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Nowadays, wireless sensor network (WSN) improves people's lives by assisting them with a variety of applications. The major challenge in WSN is consumption of power as well as lifetime of the network. Clustering is the important method for saving energy in WSN because the separation of the sender and the receiver is related to transmission energy. In this paper we used fuzzy rules for clustering. Wireless sensor networks are susceptible to energy holes, in which sensors nearer to a static sink rapidly lose energy. To solve this problem and extend network life we used a mobile sink (MS). In this paper, a customized mobile sink node called the mobile data sender (MDS) has been tried to introduce for collecting data from the sensors by going to visit every node and then going to send this to the base station. This paper proposes nature inspired heuristic discrete firefly algorithm to optimal way accumulate information from sensor nodes in order to decrease the path travelled by the MDS while doing the tour. So, in this paper, we consider Mobile Sink in Fuzzy Logic and Meta-heuristic Firefly Algorithm based routing scheme to extend network lifetime of WSN (MSFLMFLA). Here we compare throughput and network lifetime with the static sink in FLMFLA and EHR-DC and LEACH protocol. The results of simulation shows that the MSFLMFLA increases the throughput, residual energy and also increases the data received by the sink.

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WPO-EECRP: Energy-Efficient Clustering Routing Protocol Based on Weighting and Parameter Optimization in WSN

Cited by 58 publications

References 22 publications

An Energy‐Proficient Clustering‐Inspired Routing Protocol using Improved Bkd‐tree for Enhanced Node Stability and Network Lifetime in Wireless Sensor Networks

An Energy‐Proficient Clustering‐Inspired Routing Protocol using Improved Bkd‐tree for Enhanced Node Stability and Network Lifetime in Wireless Sensor Networks

A PSO-Based Uneven Dynamic Clustering Multi-Hop Routing Protocol for Wireless Sensor Networks

Mobile Sink in Fuzzy Logic and Meta-heuristic Firefly Algorithm based Routing Scheme to Extend Network Lifetime of WSN (MSFLMFLA)

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