Packet arrival analysis in wireless sensor networks
Conference paper
Doddapaneni, K., Shah, P., Ever, E., Tasiran, A., Omondi, F., Mostarda, L. and Gemikonakli, O. 2015. Packet arrival analysis in wireless sensor networks. IEEE 29th International Conference on Advanced Information Networking and Applications Workshops (WAINA), 2015. Gwangiu, South Korea 24 - 27 Mar 2015 IEEE. pp. 164-169 https://doi.org/10.1109/WAINA.2015.101
Type | Conference paper |
---|---|
Title | Packet arrival analysis in wireless sensor networks |
Authors | Doddapaneni, K., Shah, P., Ever, E., Tasiran, A., Omondi, F., Mostarda, L. and Gemikonakli, O. |
Abstract | Distributed sensor networks have been discussed for more than 30 years, but the vision of Wireless Sensor Networks (WSNs) has been brought into reality only by the rapid advancements in the areas of sensor design, information technologies, and wireless networks that have paved the way for the proliferation of WSNs. The unique characteristics of sensor networks introduce new challenges, amongst which prolonging the sensor lifetime is the most important. WSNs have seen a tremendous growth in various application areas including health care, environmental monitoring, security, and military purposes despite prominent performance and availability challenges. Clustering plays an important role in enhancement of the life span and scalability of the network, in such applications. Although researchers continue to address these grand challenges, the type of distributions for arrivals at the cluster head and intermediary routing nodes is still an interesting area of investigation. Modelling the behaviour of the networks becomes essential for estimating the performance metrics and further lead to decisions for improving the network performance, hence highlighting the importance of identifying the type of inter-arrival distributions at the cluster head. In this paper, we present extensive discussions on the assumptions of exponential distributions in WSNs, and present numerical results based on Q-Q plots for estimating the arrival distributions. The work is further extended to understand the impact of end-to-end delay and its effect on inter-arrival time distributions, based on the type of medium access control used in WSNs. Future work is also presented on the grounds that such comparisons based on simple eye checks are insufficient. Since in many cases such plots may lead to incorrect conclusions, demanding the necessity for validating the types of distributions. Statistical analysis is necessary to estimate and validate the empirical distributions of the arrivals in WSNs. |
Keywords | wireless Sensors; Packet arrivals ; distributions; Clustering; Q-Q plots; statistical analysis; MAC protocols |
Research Group | SensoLab group |
Conference | IEEE 29th International Conference on Advanced Information Networking and Applications Workshops (WAINA), 2015 |
Page range | 164-169 |
Proceedings Title | 2015 IEEE 29th International Conference on Advanced Information Networking and Applications Workshops |
ISBN | |
Electronic | 9781479917754 |
Electronic | 9781479917747 |
Publisher | IEEE |
Publication dates | |
27 Mar 2015 | |
Online | 30 Apr 2015 |
Publication process dates | |
Deposited | 30 Jun 2015 |
Output status | Published |
Accepted author manuscript | File Access Level Open |
Copyright Statement | [Pre-print copy] © 2015 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. |
Digital Object Identifier (DOI) | https://doi.org/10.1109/WAINA.2015.101 |
Scopus EID | 2-s2.0-84947730628 |
Web of Science identifier | WOS:000380464800030 |
Web address (URL) of conference proceedings | https://ieeexplore.ieee.org/xpl/conhome/7093653/proceeding |
Language | English |
https://repository.mdx.ac.uk/item/85q53
Download files
58
total views29
total downloads0
views this month0
downloads this month
Export as
Related outputs
Architecting digital twins for intelligent transportation systems
Bhatt, H., Sahil, Vaidhyanathan, K., Biju, R., Gangadharan, D., Trestian, R. and Shah, P. 2025. Architecting digital twins for intelligent transportation systems. 4th International Workshop on Architecting and Engineering Digital Twins. Odense, Denmark 31 Mar - 04 Apr 2025 IEEE.Enhancing employability and engagement in a student-centred learning environment: insights from the MDX internship scheme
Trestian, R., Shayesteh, H., Tims, J. and Shah, P. 2025. Enhancing employability and engagement in a student-centred learning environment: insights from the MDX internship scheme. 2025 IEEE Global Engineering Education Conference. London, UK 22 - 25 Apr 2025 IEEE.Transforming smart factories: real-time optimisation of cyber-physical systems with digital twins
Manikandan, K., Madangopal, S., Davis, W., Prasad, R., Venkataraman, H., Trestian, R. and Shah, P. 2024. Transforming smart factories: real-time optimisation of cyber-physical systems with digital twins. Barolli, L. (ed.) The 19th International Conference on Broadband and Wireless Computing, Communication and Applications. San Benedetto del Tronto, Italy 13 - 15 Nov 2024 Cham Springer. pp. 223-234 https://doi.org/10.1007/978-3-031-76452-3_22Threshold signature in off-chain components to manage inter-chain transactions
Bigiotti, A., Mostarda, L., Navarra A, Shah, P. and Trestian, R. 2024. Threshold signature in off-chain components to manage inter-chain transactions. 6th Conference on Blockchain Research & Applications for Innovative Networks and Services. Berlin, Germany 09 - 11 Oct 2024 IEEE. pp. 1-4 https://doi.org/10.1109/brains63024.2024.10732513Energy efficiency optimisation of joint computational task offloading and resource allocation using particle swarm optimisation approach in vehicular edge networks
Alam, A., Shah, P., Trestian, R., Ali, K. and Mapp, G. 2024. Energy efficiency optimisation of joint computational task offloading and resource allocation using particle swarm optimisation approach in vehicular edge networks. Sensors. 24 (10). https://doi.org/10.3390/s24103001Dissecting the hype: a study of WallStreetBets’ sentiment and network correlation on financial markets
Wang, K, Wong, B, Khoshkholghi, A., Shah, P., Naha, R, Mahanti, A and Kim, J 2024. Dissecting the hype: a study of WallStreetBets’ sentiment and network correlation on financial markets. 38th International Conference on Advanced Information Networking and Applications. Kitakyushu, Japan 17 - 19 Apr 2024 Springer. pp. 263-273 https://doi.org/10.1007/978-3-031-57853-3_22Joint energy and spectral optimization in Heterogeneous Vehicular Network
Alam, A., Ali, K., Trestian, R., Shah, P. and Mapp, G. 2023. Joint energy and spectral optimization in Heterogeneous Vehicular Network. Computer Networks. 238. https://doi.org/10.1016/j.comnet.2023.110111Internet of Things (IoT) enabled smart navigation aid for visually impaired
Roy, M. and Shah, P. 2022. Internet of Things (IoT) enabled smart navigation aid for visually impaired. Barolli, L., Hussain, F. and Enokido, T. (ed.) Advanced Information Networking and Applications (AINA 2022). Sydney, NSW, Australia 13 - 15 Apr 2022 Springer. pp. 232-244 https://doi.org/10.1007/978-3-030-99619-2_23