Deployment challenges and developments in wireless sensor networks clustering
Doddapaneni, Krishna, Omondi, Fredrick, Ever, Enver, Shah, Purav 
ORCID: https://orcid.org/0000-0002-0113-5690, Gemikonakli, Orhan ORCID: https://orcid.org/0000-0002-0513-1128 and Gagliardi, Roberto
(2014)
Deployment challenges and developments in wireless sensor networks clustering.
Proceedings 2014 28th International Conference on Advanced Information Networking and Applications Workshops (WAINA).
In: Advanced Information Networking and Applications Workshops (WAINA), 2014 28th International Conference on, 13-16 May 2014, Victoria, Canada.
ISBN 9781479926527.
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Abstract
Clustering techniques for wireless sensor networks (WSNs) have been extensively studied and proven to improve the network lifetime, a primary metric, used for performance evaluation of sensor networks. Although introduction of clustering techniques has the potential to reduce energy consumption and extend the lifetime of the network by decreasing the contention through either power control or node scheduling, scalability remains an issue. Therefore, the optimality of the cluster size still needs to be thoroughly investigated. In this paper, a single cluster head (CH) queuing model is presented. Using an event based simulation tool (Castalia), key issues that affect the practical deployment of clustering techniques in wireless sensor networks are analysed. These include identifying the bottlenecks in terms of cluster scalability and predicting the nature of data packets arrival distribution at the CH. Results presented show that this analysis can be used to specify the size of a cluster, when a specific flow of data is expected from the sensing nodes based on a particular application and also the distribution of the inter-arrival times of data packets at the CH follows exponential distribution.
| Item Type: | Conference or Workshop Item (Paper) |
|---|---|
| Keywords (uncontrolled): | exponential distribution; power control; queueing theory; scheduling; telecommunication power management; wireless sensor networks; WSN; cluster head queuing model; data packets arrival distribution; energy consumption; event based simulation tool; exponential distribution; inter-arrival time; network lifetime; node scheduling; power control; wireless sensor networks clustering; Analytical models; Educational institutions; Energy consumption; Exponential distribution; Protocols; Scalability; Wireless sensor networks; Wireless Sensor Networks; cluster size; clustering; distribution; modelling; performance; scalability |
| Research Areas: | A. > School of Science and Technology > Computer Science > SensoLab group |
| Item ID: | 17117 |
| Notes on copyright: | “© 2014 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.” |
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| Depositing User: | Purav Shah |
| Date Deposited: | 30 Jun 2015 13:43 |
| Last Modified: | 29 Nov 2022 23:41 |
| URI: | https://eprints.mdx.ac.uk/id/eprint/17117 |
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