An Energy Centric Cluster-Based Routing Protocol for Wireless Sensor Networks

Hosen, A. S. M. Sanwar; Cho, GH

doi:10.3390/s18051520

Cited by 45 publications

(37 citation statements)

References 27 publications

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“…This approach results in improved performance in the network's lifetime. Hosen et al proposed an energy-centric cluster-based routing protocol (ECCR) [11]. In this protocol, a predefined static cluster is proposed, whose purpose is to reduce the control information overhead in the cluster formation problem.…”

Section: Related Workmentioning

confidence: 99%

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Routing Protocol for Heterogeneous Wireless Sensor Networks Based on a Modified Grey Wolf Optimizer

Zhao

Ren

Quan

et al. 2020

Sensors

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Wireless sensor network (WSN) nodes are devices with limited power, and rational utilization of node energy and prolonging the network lifetime are the main objectives of the WSN’s routing protocol. However, irrational considerations of heterogeneity of node energy will lead to an energy imbalance between nodes in heterogeneous WSNs (HWSNs). Therefore, in this paper, a routing protocol for HWSNs based on the modified grey wolf optimizer (HMGWO) is proposed. First, the protocol selects the appropriate initial clusters by defining different fitness functions for heterogeneous energy nodes; the nodes’ fitness values are then calculated and treated as initial weights in the GWO. At the same time, the weights are dynamically updated according to the distance between the wolves and their prey and coefficient vectors to improve the GWO’s optimization ability and ensure the selection of the optimal cluster heads (CHs). The experimental results indicate that the network lifecycle of the HMGWO protocol improves by 55.7%, 31.9%, 46.3%, and 27.0%, respectively, compared with the stable election protocol (SEP), distributed energy-efficient clustering algorithm (DEEC), modified SEP (M-SEP), and fitness-value-based improved GWO (FIGWO) protocols. In terms of the power consumption and network throughput, the HMGWO is also superior to other protocols.

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Section: Related Workmentioning

confidence: 99%

“…However, the battery power is very limited, and when the sensor nodes are placed in a complex or harsh environment, it is very difficult to charge or replace the battery [6,7]. Therefore, energy efficiency is the most important and critical task to lengthen the network lifetime in the design of WSN routing protocols [8][9][10][11].…”

Section: Introductionmentioning

confidence: 99%

Routing Protocol for Heterogeneous Wireless Sensor Networks Based on a Modified Grey Wolf Optimizer

Zhao

Ren

Quan

et al. 2020

Sensors

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“…The protocol improves the NL than that of other protocols. An energy centric cluster-based routing (ECCR) protocol has been proposed in [38]. It divides the network into a number of static grids called clusters.…”

Section: Cluster-based Routing Protocolsmentioning

confidence: 99%

“…This section presents the simulation environment, parameters, performance and discussion of the protocols QACR, EADUC [25], EADC [29], CHP [37], and ECCR [38].…”

Section: Performance Evaluationmentioning

confidence: 99%

“…The clustering techniques can be classified into three main categories: static, dynamic, and hybrid under centralized or distributed process . Static clustering is predefined, and it divides the network into levels, grids, regions, sectors, and so on [30,[37][38][39][40]. Dynamic clustering is usually self-configured (can be AI-assisted) and random according to the network state [18][19][20][21][22][23][24][25][26][27][28][29][31][32][33].…”

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confidence: 99%

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A QoS-Aware Data Collection Protocol for LLNs in Fog-Enabled Internet of Things

Hosen

Singh

Sharma

et al. 2020

IEEE Trans. Netw. Serv. Manage.

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Improving quality of service (QoS) of low power and lossy networks (LLNs) in internet of things (IoT) is a major challenge. Cluster-based routing technique is an effective approach to achieve this goal. This paper proposes a QoS-aware clustering-based routing (QACR) mechanism for LLNs in Fogenabled IoT which provides a clustering, a cluster head (CH) election, and a routing path selection technique. The clustering adopts the community detection algorithm that partitions the network into clusters with available nodes' connectivity. The CH election and relay node selection both are weighted by the rank of the nodes which take node's energy, received signal strength, link quality, and number of cluster members into consideration as the ranking metrics. The number of CHs in a cluster is adaptive and varied according to a cluster state to balance the energy consumption of nodes. Besides, the protocol uses the CH role handover technique during CH election that decreases the control messages for the periodic election and cluster formation in detail. An evaluation of the QACR has performed through simulations for various scenarios. The obtained results show that the QACR improves the QoS in terms of packet delivery ratio, latency, and network lifetime compared to the existing protocols.

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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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An Energy Centric Cluster-Based Routing Protocol for Wireless Sensor Networks

Cited by 45 publications

References 27 publications

Routing Protocol for Heterogeneous Wireless Sensor Networks Based on a Modified Grey Wolf Optimizer

Routing Protocol for Heterogeneous Wireless Sensor Networks Based on a Modified Grey Wolf Optimizer

A QoS-Aware Data Collection Protocol for LLNs in Fog-Enabled Internet of Things

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

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