An adaptive sectoring and cluster head selection based multi-hop routing algorithm for WSN

Jain, Neeti; Trivedi, Piyush

doi:10.1109/nuicone.2012.6493208

Cited by 12 publications

(4 citation statements)

References 6 publications

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“…Based on ( 17) and ( 18), the energy consumption of each cluster and the total network energy consumption can be calculated as in (20) and (21), respectively.…”

Section: A Theory Of Optimal Ch Location and Numbermentioning

confidence: 99%

“…In particular, the energy consumption balance of circular region where the BS are positioned at center of the circular region divided into circular sectors. Neeti et al [21] proposed an adaptive sectoring and cluster head selection based multi-Hop routing algorithm in which CH was selected once in a round and the frequency depends upon its distance from BS so that levels near BS receive more data. Arghavani et al [22] studied an optimal multi-hop communications for a circular area surrounding a sink in which the network was partitioned into nearly the same size clusters and optimal number of clusters (namely, CH) was discussed under multi-hop routing.…”

Section: Related Workmentioning

confidence: 99%

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Energy-Efficient Routing Protocol Based on Multi-Threshold Segmentation in Wireless Sensors Networks for Precision Agriculture

Yao

Cui

et al. 2022

IEEE Sensors J.

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Wireless sensor networks (WSNs), one of the fundamental technologies of the Internet of Things (IoT), can provide sensing and communication services efficiently for IoT-based applications, especially energy-limited applications. Clustering routing protocol plays an important role in reducing energy consumption and prolonging network lifetime. The cluster formation and cluster head selection are the key to improving the performance of the clustering routing protocol. An energy-efficient routing protocol based on multi-threshold segmentation (EERPMS) was proposed in this paper to improve the rationality of the cluster formation and cluster heads selection. In the stage of cluster formation, inspired by multi-threshold image segmentation, an innovative node clustering algorithm was developed. In the stage of cluster heads selection, aiming at minimizing the network energy consumption, a calculation theory of the optimal number and location of cluster heads was established. Furthermore, a novel cluster head selection algorithm was constructed based on the residual energy and optimal location of cluster heads. Simulation results show that EERPMS can improve the distribution uniformity of cluster heads, prolong the network lifetime and save up to 64.50%, 58.60% and 56.15% network energy as compared to RLEACH, CRPFCM and FIGWO protocols respectively.

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“…Based on ( 17) and ( 18), the energy consumption of each cluster and the total network energy consumption can be calculated as in (20) and (21), respectively.…”

Section: A Theory Of Optimal Ch Location and Numbermentioning

confidence: 99%

Section: Related Workmentioning

confidence: 99%

Energy-Efficient Routing Protocol Based on Multi-Threshold Segmentation in Wireless Sensors Networks for Precision Agriculture

Yao

Cui

et al. 2022

IEEE Sensors J.

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“…When the scheme fails, it's usually because the child node is unable to communicate with the parent node. In [11], the adaptive cluster determination technique selects CHs based on the node's distance to the BS and the node's leftover resources. The fuzzy logic-based ranking table is used to select the cluster-head in [12].…”

Section: Related Workmentioning

confidence: 99%

Integrated data aggregation with fault-tolerance and lifetime energy-aware adaptive routing in coffee plantations using WSNs

Ahmed

Sravani

Chaudhari

et al. 2021

IJEECS

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The pest namely coffee white stem borer (CWSB) has harmed the economic progress of many emerging countries as a result of arabica coffee’s agricultural products. The boring activity causes the stem to shrink, fade in color, and acquire translucent margins across the stem. The pest multiplier can be controlled by capturing the location with the utilization of a wireless sensor networks (WSNs) and blocking its exit point at the user end. In this work, we propose an integrated data aggregation with faulttolerance and lifetime energy-aware adaptive routing (IDALAR) approach to transfer the sensed pest location data. The efficient packet format and statistical models based routing between clusterheads (CHs) and base station (BS) is proposed considering the availability of resources such as message overhead, algorithmic complexity, residual energy, and control overhead are all used to calculate its performance.

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“…A key purpose of the calculation is that CH choice is done after each round and on numerous occasions inside the equivalent round. This is done since the CH close to the BS is associated with the vast majority of the correspondences and thus it might get depleted early [10].…”

Section: Related Workmentioning

confidence: 99%

Energy Efficient Clustering Technique Using Leach Protocol for Wireless Sensor Network

Saraf¹

2018

ijarcs

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wireless Sensor Network helps in watching distinctive sorts of condition by distinguishing the physical atmosphere. Our noteworthy focus lies on extending the framework lifetime with the objective that the battery require not to be recharged after a short time. cluster sensor nodes is a feasible technique for achieving this target. In this work, we present an essentialness compelling Clustering estimation for sensor frameworks subject to the LEACH Protocol. LEACH (Low Energy Adaptive Clustering Hierarchy) is one of conspicuous group based structures, which has been by and large proposed in wireless sensor Networks. The proposed protocol LEACH-E (Improved LEACH protocol) has bolstered office that it diminishes the use of the framework resource as stand out from LEACH figuring in each round. The proposed tradition is re-sanctioned and the result shows a colossal abatement in framework essentialness use when stood out from LEACH. Our genuine spotlight relies upon boosting Nodes degree that is portrayed as the amount of alive center points that exist in the transmission extent of a given center is more as appear differently in relation to LEACH estimation.

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An adaptive sectoring and cluster head selection based multi-hop routing algorithm for WSN

Cited by 12 publications

References 6 publications

Energy-Efficient Routing Protocol Based on Multi-Threshold Segmentation in Wireless Sensors Networks for Precision Agriculture

Energy-Efficient Routing Protocol Based on Multi-Threshold Segmentation in Wireless Sensors Networks for Precision Agriculture

Integrated data aggregation with fault-tolerance and lifetime energy-aware adaptive routing in coffee plantations using WSNs

Energy Efficient Clustering Technique Using Leach Protocol for Wireless Sensor Network

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