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07.06.2018 | Technical Paper

TTCBT: two tier complete binary tree based wireless sensor network for FSR and LANMAR routing protocols

verfasst von: Kamalika Bhattacharjya, Sahabul Alam, Debashis De

Erschienen in: Microsystem Technologies | Ausgabe 2/2021

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Abstract

Wireless sensor network is extensively used for monitoring and surveillance systems. The primary challenges encountered in the area are energy minimization as well as superior quality of services. In this article, two tier complete binary tree based wireless sensor network (TTCBT) has been proposed. The performance analysis of the aforementioned TTCBT is simulated to study several performance metrics such as average end-to-end transmission delay, goodput, packet delivery ratio, residual energy, average jitter, path loss, total energy consumption, received error signals and throughput with the help of QualNet 7.1 simulation software. The simulation results depict that the LANMAR routing protocol is 3% more energy efficient than the FSR routing protocol in the proposed model.

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Acharjee D, Mukherjee A, Mandal JK, Mukherjee N (2016) Activity recognition system using inbuilt sensors of smart mobile phone and minimizing feature vectors. Microsyst Technol 22(11):2715–2722. https://doi.org/10.1007/s00542-015-2551-2CrossRef

Alam S, De D, Ray A (2015) Analysis of energy consumption for IARP, RIP and STAR routing protocols in wireless sensor networks. In: Proceedings of IEEE 2nd international conference advances in computer and communication engineering (ICACCE), pp 11–16. https://doi.org/10.1109/icacce.2015.99

Anastasi G, Conti M, Di Francesco M, Passarella A (2009) Energy conservation in wireless sensor networks: a survey. Ad Hoc Netw 7(3):537–568. https://doi.org/10.1016/j.adhoc.2008.06.003CrossRef

Bellavista P, Cardone G, Corradi A, Foschini L (2013) Convergence of MANET and WSN in IoT urban scenarios. IEEE Sens J 13(10):3558–3567. https://doi.org/10.1109/JSEN.2013.2272099CrossRef

Dong M, Ota K, Liu A (2016) RMER: reliable and energy-efficient data collection for large-scale wireless sensor networks. IEEE Internet Things J 3(4):511–519. https://doi.org/10.1109/JIOT.2016.2517405CrossRef

Flum J, Grohe M (2006) Parameterized complexity theory. Springer Science and Business Media, New YorkMATH

Gama S, Walingo T, Takawira F (2015) Energy analysis for the distributed receiver-based cooperative medium access control for wireless sensor networks. IET Wirel Sens Syst 5(4):193–203. https://doi.org/10.1049/iet-wss.2013.0129CrossRef

Gifty JD, Sumathi K (2016) ZigBee wireless sensor network simulation with various topologies. In: Proceedings of IEEE online international conference green engineering and technology (IC-GET), pp 1–6. https://doi.org/10.1109/get.2016.7916714

Guangyu P, Geria M, Hong X (2000) LANMAR: landmark routing for large scale wireless ad hoc networks with group mobility. In: Proceedings of IEEE 1st annual workshop on mobile and ad hoc networking and computing (MobiHOC), pp 11–18. https://doi.org/10.1109/mobhoc.2000.869208

Guangyu P, Mario G, Tsu-Wei C (2000) Fisheye state routing in mobile ad hoc networks. In: Proceedings of ICDCS workshop on wireless networks and mobile computing, pp 71–78

Hsu LH, Lin CK (2008) Graph theory and interconnection networks. CRC Press, Boca RatonCrossRef

Kaushal M, Singh P (2013) Performance analysis of DSR, DYMO, OLSR and RIP protocols of Manet using CBR and VBR transmission traffic mode. Intern J Curr Eng Technol 3(4):1541–1548MathSciNet

Liang Z, Xu C, Ren B, Luo H (2015) Theoretical analysis of energy harvesting performance for clamped–clamped piezoelectric beam. Microsyst Technol 21(4):815–823. https://doi.org/10.1007/s00542-014-2237-1CrossRef

Lipschutz S (2000) Data structures and algorithm. Schaum’s outline series. Mc-Graw Hill, New York

Liu X (2017) Routing protocols based on ant colony optimization in wireless sensor networks: a survey. IEEE Access 5:26303–26317. https://doi.org/10.1109/ACCESS.2017.2769663CrossRef

Mandal JK, Hassan KL (2013) A novel technique to detect intrusion in MANET. Int J Netw Secur Appl 5(5):179

Miranda J, Abrishambaf R, Gomes T, Gonçalves P, Cabral J, Tavares A, Monteiro J (2013) Path loss exponent analysis in wireless sensor networks: experimental evaluation. In: Proceedings IEEE 11th international conference on industrial informatics (INDIN), pp 54–58. https://doi.org/10.1109/indin.2013.6622857

Papadopoulos GZ, Kritsis K, Gallais A, Chatzimisios P, Noel T (2016) Performance evaluation methods in ad hoc and wireless sensor networks: a literature study. IEEE Commun Mag 54(1):122–128. https://doi.org/10.1109/MCOM.2016.7378437CrossRef

Patel R, Pariyani S, Ukani V (2011) Energy and throughput analysis of hierarchical routing protocol (LEACH) for wireless sensor network. Int J Comput Appl 20(4):32–36. https://doi.org/10.5120/2420-3247CrossRef

PratibhaKevre L (2014) Compare three reactive routing protocols in grid based cluster wireless sensor network using qualnet simulator. J Inf Eng Appl 4(4):125–132

Qiu T, Liu X, Han M, Li M, Zhang Y (2017) SRTS: a self-recoverable time synchronization for sensor networks of healthcare IoT. Comput Netw 129(2):481–492. https://doi.org/10.1016/j.comnet.2017.05.011CrossRef

Rahman MA, Anwar F, Naeem J, Abedin MSM (2010) A simulation based performance comparison of routing protocol on mobile ad-hoc network (proactive, reactive and hybrid). In: Proceedings of IEEE international conference on computer and communication engineering (ICCCE), pp 1–5. https://doi.org/10.1109/iccce.2010.5556751

Rahul S, Rajvanshi Y, Maurya SK (2012) Comparative study of adhoc routing protocol AODV, DSR and IARP in mobile adhoc network. Int J Comput Netw Wirel Commun 2(5):630–633

Raval G, Bhavsar M, Patel N (2017) Enhancing data delivery with density controlled clustering in wireless sensor networks. Microsyst Technol 23(3):613–631. https://doi.org/10.1007/s00542-016-2990-4CrossRef

Riri PC, Kristalina P, Sudarsono A, (2016) Cluster-based pathloss exponential modeling for indoor positioning in wireless sensor network. In: Proceedings of IEEE international conference on knowledge creation and intelligent computing (KCIC), pp 53–59. https://doi.org/10.1109/kcic.2016.7883625

Sharma K, Mittal N, Rathi P (2014) Comparative analysis of routing protocols in ad-hoc networks. Int J Adv Sci Technol 69:1–12. https://doi.org/10.14257/ijast.2014.69.01CrossRef

Singh MM, Basumatary H (2017) Lifetime analysis of wireless sensor network considering stay time and stay location of the sink node. CSI J Comput 3(2):01–08

Singh MM, Mandal JK (2017) Logistic regression based reliability analysis for mobile ad hoc network with fixed maximum speed and varying pause times. J Sci Ind Res 76(02):81–84

Singh MM, Singh A, Mandal JK (2014) Preventing node replication attack in static wireless sensor netwroks. In: Proceedings of IEEE 3rd international conference on reliability, infocom technologies and optimization (ICRITO) (Trends and Future Directions), pp 1–5. https://doi.org/10.1109/icrito.2014.7014687

Singh R, Rai BK, Bose SK (2017) A joint routing and MAC protocol for transmission delay reduction in many-to-one communication paradigm for wireless sensor networks. IEEE Internet Things J 4(4):1031–1045. https://doi.org/10.1109/JIOT.2017.2724762CrossRef

Tommasi T, Chiolerio A, Crepaldi M, Demarchi D (2014) A microbial fuel cell powering an all-digital piezoresistive wireless sensor system. Microsyst Technol 20(4–5):1023–1033. https://doi.org/10.1007/s00542-014-2104-0CrossRef

Verma VK, Singh S, Pathak NP (2014) Analysis of scalability for AODV routing protocol in wireless sensor networks. Optik Int J Light Electron Opt 125(2):748–750. https://doi.org/10.1016/j.ijleo.2013.07.041CrossRef

Wu J, Yuen C, Cheng B, Shang Y, Chen J (2015) Goodput-aware load distribution for real-time traffic over multipath networks. IEEE Trans Parallel Distrib Syst 26(8):2286–2299. https://doi.org/10.1109/TPDS.2014.2347031CrossRef

Xiong W, Li QQ (2015) Performance evaluation of data disseminations for vehicular ad hoc networks in highway scenarios. Int Arch Photogramm Remote Sens Spat Inf Sci XXXVII(B1):1015–1020

Yahaya FH, Yussoff YM, Rahman RA, Abidin NH (2009) Performance analysis of wireless sensor network. In: Proceedings of IEEE 5th international colloquium on signal processing and its applications (CSPA), pp 400–405. https://doi.org/10.1109/cspa.2009.5069259

Ye M, Li C, Chen G, Wu J (2005) EECS: an energy efficient clustering scheme in wireless sensor networks. In: Proceedings of IEEE 24th international on performance, computing, and communications conference (IPCCC 2005), pp 535–540. https://doi.org/10.1109/pccc.2005.1460630

Zanjireh MM, Larijani H (2015) A survey on centralised and distributed clustering routing algorithms for WSNs. In: Proceedings of IEEE 81th on vehicular technology conference (VTC Spring), pp 1–6. https://doi.org/10.1109/vtcspring.2015.7145650

Zhang Y, Zhang X, Fu W, Wang Z, Liu H (2014) HDRE: coverage hole detection with residual energy in wireless sensor networks. J Commun Netw 16(5):493–501. https://doi.org/10.1109/JCN.2014.000088CrossRef

Titel: TTCBT: two tier complete binary tree based wireless sensor network for FSR and LANMAR routing protocols
verfasst von: Kamalika Bhattacharjya
Sahabul Alam
Debashis De
Publikationsdatum: 07.06.2018
Verlag: Springer Berlin Heidelberg
Erschienen in: Microsystem Technologies / Ausgabe 2/2021
Print ISSN: 0946-7076
Elektronische ISSN: 1432-1858
DOI: https://doi.org/10.1007/s00542-018-3982-3

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