- Title
- Sink mobility aware energy-efficient network integrated super heterogeneous protocol for WSNs
- Creator
- Akbar, Mariam; Javaid, Nadeem; Imran, Muhammad; Amjad, Naeem; Khan, Majid; Guizani, Mohsen
- Date
- 2016
- Type
- Text; Journal article
- Identifier
- http://researchonline.federation.edu.au/vital/access/HandleResolver/1959.17/186397
- Identifier
- vital:16881
- Identifier
-
https://doi.org/10.1186/s13638-016-0552-1
- Identifier
- ISBN:1687-1472 (ISSN)
- Abstract
- In this paper, we propose Balanced Energy-Efficient Network Integrated Super Heterogeneous (BEENISH), improved BEENISH (iBEENISH), Mobile BEENISH (MBEENISH), and improved Mobile BEENISH (iMBEENISH) protocols for heterogeneous wireless sensor networks (WSNs). BEENISH considers four energy levels of nodes and selects cluster heads (CHs) on the base of residual energy levels of nodes and average energy level of the network, whereas iBEENISH dynamically varies the CHs selection probability in an efficient manner leading to increased network lifetime. We also present a mathematical sink mobility model and validate this model by implementing it in BEENISH (resulting in MBEENISH) and iBEENISH (resulting in iMBEENISH). Finally, simulation results show that BEENISH, MBEENISH, iBEENISH, and iMBEENISH protocols outperform contemporary protocols in terms of stability period, network lifetime, and throughput. © 2016, Akbar et al.
- Publisher
- Springer International Publishing
- Relation
- Eurasip Journal on Wireless Communications and Networking Vol. 2016, no. 1 (2016), p. 1-19
- Rights
- All metadata describing materials held in, or linked to, the repository is freely available under a CC0 licence
- Rights
- http://creativecommons.org/licenses/by/4.0/
- Rights
- Copyright © 2016 Akbar et al.
- Rights
- Open Access
- Subject
- 4006 Communications engineering; 4606 Distributed computing and systems softwareClustering; Energy efficient; Heterogeneous; Mobility management; Routing; Super heterogeneous; WSNs
- Full Text
- Reviewed
- Funder
- The authors would like to extend their sincere appreciation to the Deanship of Scientific Research at King Saud University for funding this research through Research Group Project No. RG#1435-051.
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