Energy-Aware Approach for Routing Protocol by Using Centralized Control Clustering Algorithm in Wireless Sensor Networks

Al-Humidi, Nada; Chowdhary, Girish V.

doi:10.1007/978-981-13-1513-8_28

Cited by 14 publications

(4 citation statements)

References 10 publications

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“…The CH(s) request all messages and the routing table is maintained and follow the TDMA schedule for all clusters. The data aggregation is performed on the basis of the routing table and finally, the data is sent to BS [30][31].…”

Section: Low Energy Adaptive Cluster Hierarchy (Leach)mentioning

confidence: 99%

A Novel Approach for Cluster Head Selection using Trust Function in WSN

Narayan

Daniel

2021

SCPE

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The enhancement of new technology in the sensor network shows a significant result in every aspect of life such as military surveillance, hospitals, mining and hospitals etc. The nodes are scattered randomly in RoI (Region of Interest) and data is transmitted to Base Station (BS) using the multi-hop technique. The Wireless Sensor Network (WSN) become an important research field for challenging problems as energy consumption, efficient cluster head selection process, routing algorithm, network strength, packet loss, energy loss and so forth. The agenda in the paper is to enhance Residual Energy (RE) of nodes and network lifetime. The problem is solved by using an efficient clustering and Cluster Head (CH) selection process.The cluster head selection is based on the maximum node residual energy and the minimum distance from the base station. The Proposed protocol worked in two stages. The new Threshold value T(H) is calculated for the cluster head selection process in the first stage. The data fusion method based on the trust function is used to get accurate data in the second stage. The energy model is utilized to reduce the excessive energy transmission inside the network. The Proposed protocol is compared with Stable Election Protocol and achieves 44% lifetime improvement, 59\% stability improvement and 15% in survival rate respectively.

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Section: Low Energy Adaptive Cluster Hierarchy (Leach)mentioning

confidence: 99%

A Novel Approach for Cluster Head Selection using Trust Function in WSN

Narayan

Daniel

2021

SCPE

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“…A lot of work has also been investigated on energy-aware routing. A similar sort of work is done in [17], in which they utilize an energy-aware technique with static clustering called centralized control clustering (EACCC) to achieve energy efficiency and greater lifespan of the network along with network scalability as well. The performance of the EACCC is accessed through extensive analytical proofs and simulation and showed that EACCC is highly efficient in terms of balancing the energy consumption and prolonging network lifetime.…”

Section: Related Workmentioning

confidence: 99%

EEHRT: Energy Efficient Technique for Handling Redundant Traffic in Zone-Based Routing for Wireless Sensor Networks

Jadoon

Zhou

Khan

et al. 2019

Wireless Communications and Mobile Computing

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This paper presents an energy-efficient technique to handle redundant traffic (EEHRT) in the zone-based routing for wireless sensor networks. In this technique, multihop routing is performed based on the remaining energy of the nodes. Afterwards, it performs position-based routing without the need for the nodes to know their respective position. The main objective of this paper is to handle the redundant packets generated in zone-based routing using short beacon messages. Nodes of lower zones route the data of the higher zone to base station (BS) with a minimum number of hops and utilize only those nodes on the path which are energy efficient and located closer to BS. Moreover, the source node is acknowledged by the relaying node using a wireless broadcast advantage (WBA) without sending any special ACK packet to the sender, which reduces the control overhead in the routing process. The EEHRT technique improves the routing against RARZ by ensuring only one copy of the packet is propagated at each hop along the routing path to BS. Simulation results show that EEHRT achieved 28% improvement in energy efficiency, 10% and 25% improvements in data throughput against total and distinct packet reception at BS respectively, 35% increase in overall network lifetime, and 100% reduction in redundant packets generation and propagation in the network against RARZ routing.

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“…A lot of work has also been investigated on energy-aware routing. A similar work is presented in [19], in which authors utilize an energy-aware technique with static clustering called centralized control clustering (EACCC) in order to achieve energy efficiency and greater lifespan of the network, especially in a scalable environment. e performance of the EACCC is accessed through extensive analytical proofs and simulation, and it has been shown that the EACCC is highly efficient in terms of balancing the energy consumption and prolonging the network lifetime.…”

Section: Related Workmentioning

confidence: 99%

Performance Evaluation of Zone-Based Routing with Hierarchical Routing in Wireless Sensor Networks

Jadoon

Zhou

Khan

et al. 2019

Wireless Communications and Mobile Computing

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Routing remains a most challenging task in sensor networks because of constrained resources like battery power, processing, and memory. Many energy efficiency techniques for the sensor networks have been proposed, among which hierarchical routing is considered the most energy-efficient and extended network lifetime technique. This technique has a lesser number of transmissions in the network. On the contrary, zone-based routing claims lesser control and routing overhead on the overall network lifetime. In this research, a simulation-based comparison of zone-based routing with static clustering hierarchical routing is conducted. The simulation results show that the zone-based routing outperforms hierarchical routing with static clustering in terms of energy efficiency, network lifetime, and throughput.

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Energy-Aware Approach for Routing Protocol by Using Centralized Control Clustering Algorithm in Wireless Sensor Networks

Cited by 14 publications

References 10 publications

A Novel Approach for Cluster Head Selection using Trust Function in WSN

A Novel Approach for Cluster Head Selection using Trust Function in WSN

EEHRT: Energy Efficient Technique for Handling Redundant Traffic in Zone-Based Routing for Wireless Sensor Networks

Performance Evaluation of Zone-Based Routing with Hierarchical Routing in Wireless Sensor Networks

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