EACHP: Energy Aware Clustering Hierarchy Protocol for Large Scale Wireless Sensor Networks

Barati, Hamid; Movaghar, Ali; Rahmani, Amir Masoud

doi:10.1007/s11277-015-2807-2

Cited by 29 publications

(12 citation statements)

References 23 publications

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“…The signal is transmitted over the air and received at the sensor nodes [17,18] within the monitoring area. During the transmission, the signal is attenuated by environmental factors such as physical obstacles, which would lead to uncertainty for the received signal at the sensor nodes [19][20][21].…”

Section: Methodsmentioning

confidence: 99%

Controllable Effective Threshold Based Fusion Coverage Algorithm in Mobile Sensor Networks

Sun

2018

Wireless Communications and Mobile Computing

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The coverage quality and network lifetime are two key parameters in the research of sensor networks. The coverage quality shows direct influences on the network lifetime. Meanwhile, it is influenced by many other factors such as physical parameters and environmental parameters. To reveal the connection between the coverage quality and the parameters of target node concerned, a fusion coverage algorithm with controllable effective threshold is proposed based on the sensing probability model. We give the model for the membership function of coverage intensity as well as the prediction model for the fusion operator. The range for the effective threshold is presented according to the membership function model. Meanwhile, the maximum of the effective coverage intensity for the target nodes within the monitoring area is derived. The derivation of the maximal fusion coverage intensity is elaborated utilizing a processing function on the distances from the target node to the ones in the sensor node set. Furthermore, we investigate different network properties within the monitoring area such as network coverage quality, the dynamic change of parameters, and the network lifetime, based on the probability theory and the geometric theory. Finally, we present numerical simulations to verify the performances of our algorithm. It is shown under different settings that, compared with the demand coverage quality, the proposed algorithm could improve the network coverage quality by 15.66% on average. The simulation experiment results show that our proposed algorithm has an average improvement by 10.12% and 13.23% in terms of the performances on network coverage quality and network lifetime, respectively. The research results are enlightening to the edge coverage and nonlinear coverage problems within the monitoring area.

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Section: Methodsmentioning

confidence: 99%

Controllable Effective Threshold Based Fusion Coverage Algorithm in Mobile Sensor Networks

Sun

2018

Wireless Communications and Mobile Computing

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“…Five state-of-the-art methods were then compared and the results showed that this approach greatly extends the network life. Barati et al 17 presented an Energy Aware Clustering Hierarchy Protocol to reduce the communication overhead. A multi-level hierarchical structure was created to adequately route and collect data in WSNs.…”

Section: Related Workmentioning

confidence: 99%

An optimization method to improve the performance of unmanned aerial vehicle wireless sensor networks

Cao

Yang

Yue

et al. 2017

International Journal of Distributed Sensor Networks

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Wireless sensor networks have made great progress in recent years in every aspect of our life. To extend their range of application and provide a further effective option for remote surveillance, unmanned aerial vehicles have been gradually introduced into sensor networks, due to their advantages of flexibility, mobility, and ease of realization. Despite the success of various applications and studies in this new field, unmanned aerial vehicle-wireless sensor network still faces many open challenges, such as the unmanned aerial vehicle capable system framework, land-wireless sensor network management, and unmanned aerial vehicle mission planning strategies. In the article, we propose a cooperative framework for unmanned aerial vehicle-wireless sensor network, which is composed of sensor nodes, fixed-group leaders, and a unmanned aerial vehicle-Sink, in which a three-layer hierarchical network is formed. A land-wireless sensor network k-means driven grouping approach is then presented, which considers the communication performance, the position, and other factors. Additionally, a simulated annealing algorithm is employed to detect the optimal flight trajectory according the ground wireless sensor network architecture. Finally, the proposed approach is compared to other related approaches, and the results have shown better performance of our proposal in terms of energy consumption, flying time, and other relevant evaluation criteria.

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“…The second phase is the steady-state phase responsible for data transmission between the nodes and CHs, and between the CHs and base station (BS) [15].…”

Section: Leachmentioning

confidence: 99%

“…o t h e r w i s e (15) where r is the number of the current round, G the set of the nodes that have not become cluster heads within the last 1 pnrm round, and G the set of nodes that have not become cluster heads within the last 1 p adv round.…”

Section: Sepmentioning

confidence: 99%

A Proposed Protocol to Enhance the Performance of Wireless Sensor Networks Based on the Reduction of Power Consumption

El-Deeb¹,

Mohamed²,

Abdullah³

2017

PIER C

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Abstract-This paper represents the analysis and study of selecting the highest power node in the wireless sensor networks as a cluster head. The study assumes that the sensors are fixed and uniformly distributed, and the position of the sink and the dimensions of the sensor are known. The paper introduces a proposed protocol to prolong the time interval before the death of the first node (stability period), which is critical for many applications. The aim of this paper is also to improve the performance of the network by increasing the overall throughput of the network. The proposed protocol selects the cluster head depending on the power level of the node which is the most important factor of the behavior of the nodes. The simulation is made by MATLAB, and the results are compared with two other protocols, LEACH and SEP. It is found that the selection of the highest power node as a cluster head increases the stability region and throughput of the network compared to other protocols.

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EACHP: Energy Aware Clustering Hierarchy Protocol for Large Scale Wireless Sensor Networks

Cited by 29 publications

References 23 publications

Controllable Effective Threshold Based Fusion Coverage Algorithm in Mobile Sensor Networks

Controllable Effective Threshold Based Fusion Coverage Algorithm in Mobile Sensor Networks

An optimization method to improve the performance of unmanned aerial vehicle wireless sensor networks

A Proposed Protocol to Enhance the Performance of Wireless Sensor Networks Based on the Reduction of Power Consumption

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