Abstract
Energy consumption of a wireless sensor network plays an important role in determining the lifetime of a network. Lifetime of any network is the total number of rounds it completes before the failure of a certain number of nodes. In harsh and inaccessible environments, the aerial deployment is done instead of manual deployment of nodes. In this process, some of the nodes are not properly deployed while some get wasted. Here, the fifty percent nodes die out time is taken as the lifetime of the network. The wastage of nodes considerably affect lifetime of the network. The main focus of the paper is on network deployment algorithms in presence of obstacles. Further, the effect of probabilities of selection of a node as cluster head, size of the obstacles and position of obstacles on the lifetime has been considered for evaluation.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
Jino Ramson, S.R., Jackuline Moni, D.: Applications of wireless sensor networks – a survey. In: International Conference on Innovations in Electrical, Electronics, Instrumentation and Media Technology (ICEEIMT) (2017)
Wang, Y.-C., Hu, C.-C., Tseng, Y.-C.: Efficient deployment algorithms for ensuring coverage and connectivity of wireless sensor networks internet, In: 2005. Proceedings of the first International Conference on 10–15 July 2005
Liu, C., Cao, G.: Spatial-temporal coverage optimization in wireless sensor networks. IEEE Trans. Mob. Comput. 10(4), 465–478 (2011)
Vajdi, A., Zhang, G., Wang, Y., Wanglf, T.: Management model for large-scale event-driven wireless sensor networks. IEEE Sens. J. 16(20) (2016)
Zhong, M., Cassandras, C.G.: Distributed coverage control and data collection with mobile sensor networks. IEEE Trans. Autom. Control 56(10), 2445–2455 (2011)
Chatzigiannakis, I., Mylonas, G., Nikoletseas, S.: Modeling and evaluation of the effect of obstacles on the performance of wireless sensor networks. In: 39th Annual Simulation Symposium (ANSS’06) (2006)
Jardosh, A., Belding-Royer, E., Almeroth, K., Suri, S.: Towards realistic mobility models for mobile ad hoc networks. In: 9th ACM/IEEE Annual International Conference on Mobile Computing (MOBICOM 2003) (San Diego, CA), pp. 217–229 (2003)
Tripathi, R.K., Singh, Y.N., Verma, N.K.: Clustering algorithm for non-uniformly distributed nodes in wireless sensor network, 14 Feb 2013
Heinzelman, W., Chandrakasan, A., Balakrishnan, H.: Energy-efficient communication protocols for wireless microsensor networks. In: Proceedings of the 33rd Hawaaian International Conference on Systems Science (HICSS) (2000)
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2019 Springer Nature Singapore Pte Ltd.
About this paper
Cite this paper
Nayak, P., Nashine, E., Kumar, S. (2019). Deployment of a Wireless Sensor Network in the Presence of Obstacle and Its Performance Evaluation. In: Rawat, B., Trivedi, A., Manhas, S., Karwal, V. (eds) Advances in Signal Processing and Communication . Lecture Notes in Electrical Engineering, vol 526. Springer, Singapore. https://doi.org/10.1007/978-981-13-2553-3_9
Download citation
DOI: https://doi.org/10.1007/978-981-13-2553-3_9
Published:
Publisher Name: Springer, Singapore
Print ISBN: 978-981-13-2552-6
Online ISBN: 978-981-13-2553-3
eBook Packages: EngineeringEngineering (R0)