E2HRC: An Energy-Efficient Heterogeneous Ring Clustering Routing Protocol for Wireless Sensor Networks

Zhang, Wenbo; Li, Ling; Han, Guangjie; Zhang, Lincong

doi:10.1109/access.2017.2666818

Cited by 73 publications

(33 citation statements)

References 24 publications

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“…These protocols include LEACH-mobile (LEACH-M) [25], LEACH-mobile-enhanced (LEACH-ME) [26] and cluster-based routing for mobile nodes (CBR-Mobile) [27]. Some studies that employ fuzzy rules with multiple selection parameters for the selection of CH rather than discrete single parameter-based protocols [28,29,30,31]. These protocols include (DUCF) [28], use node degree (the number of connected nodes to the node), residual battery and distance from Base station (BS) for selection of CH.…”

Section: Related Workmentioning

confidence: 99%

“…Previous works on clustering select CH on the basis of two different strategies: The residual energy of cluster members (CMs) and the rotation of cluster head membership periodically among CMs [29]. However, this algorithm does not consider the distance of the cluster from the BS, which is the reason for the early die-out of farther nodes from the BS [39].…”

Section: Related Workmentioning

confidence: 99%

“…For example, the JCR protocol [20] uses a back-off timer and gradient routing to develop a network topology for data collection in a large-scale WSN. The energy-efficient heterogeneous ring clustering routing protocol (E2HRC) [29] considers the BS at the center of the network, and clusters are formed as rings around the BS. The DHCO [23] employs a hierarchy-based connection mechanism to construct a hierarchical network structure in which each sensor node is assigned to a special hierarchical subset.…”

Section: Related Workmentioning

confidence: 99%

See 2 more Smart Citations

Towards Improved Clustering and Routing Protocol for Wireless Sensor Networks

Alharbi

Kolberg

Zeeshan³

2020

Preprint

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Wireless sensor network (WSN)-based Internet of Things (IoT) applications suffer from issues including limited battery capacity, frequent disconnections due to multihop communication and a shorter transmission range. Researchers propose different but isolated clustering and routing solutions that are inefficient in terms of energy efficiency and network connectivity in IoT-based WSNs. In this work, we emphasize the importance of considering the context of IoT applications that have further requirements for dedicated data collection per node. We address two interlinked issues, clustering and routing, in a large-scale IoT-based WSN. We propose an improved clustering and routing (ICR) protocol to jointly solve both of these issues. Improved clustering and routing provide area-based clustering derived from the transmission range of network nodes. This clustering also develops a strong network backbone that provides fail-over-proof routing. An efficient routing path is achieved by finding the minimal hop count with the availability of alternate routing paths. The results are compared with state-of-the-art benchmark protocols, Joint Clustering and Routing (JCR), Low Energy Adaptive Hierarchical Clustering (LEACH) and other recent protocols. Theoretical and simulation results demonstrate reliable network topology, improved network lifetime, efficient node density management and improved overall network capacity.

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Section: Related Workmentioning

confidence: 99%

Section: Related Workmentioning

confidence: 99%

Section: Related Workmentioning

confidence: 99%

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Towards Improved Clustering and Routing Protocol for Wireless Sensor Networks

Alharbi

Kolberg

Zeeshan³

2020

Preprint

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“…The simulation of this proposed model is carried out using the NS2 simulator based on the simulation parameters in Table 1. The proposed model is contrasted with DCSDA [4], ECCDSA [7], and E2HRC [19] by thinking about the overhead, security, accuracy in the data aggregation and energy consumption. Energy consumption is portrayed as the total average amount of energy expected to send and get or forward packets to the destination [20].…”

Section: Performance Analysismentioning

confidence: 99%

An Efficient and Secure Malicious Node Detection Model for Wireless Sensor Networks

M.Morsi¹,

Barakat²,

Nashaat³

2020

IJCNC

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In wireless sensor networks (WSNs), there are many factors, such as the reciprocal interference of wireless links, battlefield applications and nodes are exposed to poor physical protection medium. All of these result in the sensor nodes being more exposed to be attacked and compromised. Since sensors are normally energy limited in WSNs, it is constantly basic to conserve the node energy and expand the lifetime of the network. Besides, hierarchical clustering is deemed as one of the numerous ways to deal with the reduction of energy consumption of nodes and increasing the network lifetime in WSNs. This paper conspicuously introduces an efficient and secure malicious node detection model based on a hybrid clustering network for WSNs (ESMCH) which is based on a trusted mobile node. WSNs are still suffering from some attacks like Man-in-the-Middle Attack and Black hole Attack, so by using the ESMCH model, we can avoid these attacks. Finally, simulation results also indicate that the proposed model can increase the network lifetime, and achieve an efficient and secure clustering network.

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“…The CH node aggregates and forwards the data to DODAG root. Z h a n g et al [24] proposed an energy Efficient Heterogeneous Ring Clustering protocol (E2HRC) to extend the network lifetime of WSN. It forms rings of equal area in the network space and it selects the CH node rotationally.…”

Section: Related Workmentioning

confidence: 99%

Multi-Layer Cluster Based Energy Aware Routing Protocol for Internet of Things

Sankar

Srinivasan

2018

Cybernetics and Information Technologies

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We propose a multi-layer cluster based energy aware routing protocol for Low Power and Lossy Networks, which divides the network area into equal length rings. The intra-ring clustering process divides a ring into equal sized clusters and inter-cluster routing applies the fuzzy logic to select the best route for data transfer. It increases the network lifetime and packet delivery ratio by 18-22% and 5-8%, respectively.

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E2HRC: An Energy-Efficient Heterogeneous Ring Clustering Routing Protocol for Wireless Sensor Networks

Cited by 73 publications

References 24 publications

Towards Improved Clustering and Routing Protocol for Wireless Sensor Networks

Towards Improved Clustering and Routing Protocol for Wireless Sensor Networks

An Efficient and Secure Malicious Node Detection Model for Wireless Sensor Networks

Multi-Layer Cluster Based Energy Aware Routing Protocol for Internet of Things

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