Energy Aware Cluster Based Multi-hop Energy Efficient Routing Protocol using Multiple Mobile Nodes (MEACBM) in Wireless Sensor Networks

Toor, Amanjot Singh; Jain, Abhilasha

doi:10.1016/j.aeue.2019.02.006

Cited by 114 publications

(61 citation statements)

References 24 publications

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“…Proposed work balanced the workload of cluster heads and enhanced the network lifespan. Aware Cluster Based Multi-hop (MEACBM) routing protocol is presented by Toor and Jain (2019) which elects sensor node highest energy as a cluster head. After the distribution of sensor nodes and the selection of clusters, the whole network is spat into zones, and inside each zone, a mobile sensor node is deployed, which behaves as Mobile Data Collector (MDC) for gathering data from CHs.…”

Section: Cluster Based Routing Protocolsmentioning

confidence: 99%

Progressive energy efficient least edge computation (P-ELEC) routing protocol in wireless sensor networks

al.¹

2021

Int. j. adv. appl. sci.

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The energy of nodes in Wireless Sensor Networks (WSNs) is usually limited, which has to be consumed economically in order to prolong the lifetime of the network. The imbalanced use degrades the sensor node energy quickly and leads to sensor voids, which further cause the routing hole problem. The routing hole problem ultimately affects network performance. To solve the routing hole problem, an Energy Efficient Least Edge Computation routing protocol (ELEC) is proposed in the literature. The simulation results show that ELEC achieves nearly double network lifetime by equal energy consumption in various parts of the network as compared to other existing routing techniques such as GRACE, LEACH, and AODV-EHA. This work presents a progressive Energy Efficient Least Edge Computation (P-ELEC) routing protocol, where a cluster head percentage is incremented periodically. Incrementing the cluster head minimizes the workload of each cluster head, and in turn, enhances the lifetime of the network. The simulation result shows the prolongation of a lifetime under various scenarios and modes of operation.

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Section: Cluster Based Routing Protocolsmentioning

confidence: 99%

Progressive energy efficient least edge computation (P-ELEC) routing protocol in wireless sensor networks

al.¹

2021

Int. j. adv. appl. sci.

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“…In consequence, those routes composed of nodes that have greater autonomy are marked as preferred. Presently, some of the hierarchical protocols widely used in sensor networks are: LEACH (Low Energy Adaptive Clustering Hierarchy) [26,27], PEGASIS (Power-Efficient Gathering in Sensor Information Systems) [28], TEEN (Threshold-sensitive Energy Efficient Protocols) [29], and PAMAS (Power-Aware Multi-access protocol with signaling) [30], among others.…”

Section: Scope Of Routing Protocols In Sensor Networkmentioning

confidence: 99%

Wireless Sensor Network Energy Model and Its Use in the Optimization of Routing Protocols

et al. 2020

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In this study, a Wireless Sensor Network (WSN) energy model is proposed by defining the energy consumption at each node. Such a model calculates the energy at each node by estimating the energy of the main functions developed at sensing and transmitting data when running the routing protocol. These functions are related to wireless communications and measured and compared to the most relevant impact on an energy standpoint and performance metrics. The energy model is validated using a Texas Instruments CC2530 system-on-chip (SoC), as a proof-of-concept. The proposed energy model is then used to calculate the energy consumption of a Multi-Parent Hierarchical (MPH) routing protocol and five widely known network sensors routing protocols: Ad-hoc On-demand Distance Vector (AODV), Dynamic Source Routing (DSR), ZigBee Tree Routing (ZTR), Low Energy Adaptive Clustering Hierarchy (LEACH), and Power Efficient Gathering in Sensor Information Systems (PEGASIS). Experimental test-bed simulations were performed on a random layout topology with two collector nodes. Each node was running under different wireless technologies: Zigbee, Bluetooth Low Energy, and LoRa by WiFi. The objective of this work is to analyze the performance of the proposed energy model in routing protocols of diverse nature: reactive, proactive, hybrid and energy-aware. Experimental results show that the MPH routing protocol consumes 16%, 13%, and 5% less energy when compared to AODV, DSR, and ZTR, respectively; and it presents only 2% and 3% of greater energy consumption with respect to the energy-aware PEGASIS and LEACH protocols, respectively. The proposed model achieves a 97% accuracy compared to the actual performance of a network. Tests are performed to analyze the consumption of the main tasks of a node in a network.

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“…Most existing studies also treat clustering and routing as separate issues and cause hot-spot problems and unbalanced energy distributions among the nodes in WSNs [12,13]. The authors in [20,26,32,33,34] argue that routing and clustering are interlinked issues and must not be treated separately.…”

Section: Related Workmentioning

confidence: 99%

“…Main Approach Taxonomy of Energy-efficient Techniques LEACH [13] Clustering Dynamic clusters with random selection of cluster heads LEACH-C [14] Clustering by BS Reduction in cluster management. Increase in data efficiency JCR [20] Clustering & routing Unified approach with better clustering and routing of data CBR-M [28] Mobile BS BS become closer to CH for data collection for saving energy E2HRC [29] Mobile BS & CH BS and CHs are mobile for data collection from CMs EADBCRP [32] Clustering & routing Density-based clustering and routing approach FBCFP [33] Clustering Fuzzy rule based on four parameters for selection of CH node MEACBM [34] Routing…”

Section: Referencementioning

confidence: 99%

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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Energy Aware Cluster Based Multi-hop Energy Efficient Routing Protocol using Multiple Mobile Nodes (MEACBM) in Wireless Sensor Networks

Cited by 114 publications

References 24 publications

Progressive energy efficient least edge computation (P-ELEC) routing protocol in wireless sensor networks

Progressive energy efficient least edge computation (P-ELEC) routing protocol in wireless sensor networks

Wireless Sensor Network Energy Model and Its Use in the Optimization of Routing Protocols

Towards Improved Clustering and Routing Protocol for Wireless Sensor Networks

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