Abstract
Wireless Sensor Networks (WSN) are characterized by highly application-specific nature, stringent resource constraints, self-organizing, spatio-temporal traffic, and large dynamic topology with several contradicting design goals. Of these design goals, network life time and energy efficiency are considered as of paramount importance. Many research works from the past have dedicated themselves in extending the network life time and achieving energy efficiency of WSN through various techniques, including that of the application of Tree as a data structure. This article attempts to present a detailed survey of the existing research works with the application of different variants of Trees. Further, the paper tries to analyze the performance implications of application of variants of trees, advantages, and disadvantages. The paper mentions possible feasibility of the application of Red Black Trees (RBL) in WSN and the potentials for future research while giving algorithmic comparison of RBL with other tree data structures.
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References
Akyildiz F, Su W, Sankarasubramaniam Y, Cayirci E (2002) Wireless sensor networks: a survey. Comput Netw 38(4):393–422
Zhao F, Guibas LJ (2007) Wireless sensor networks: an information processing approach. Elsevier Publications
Sohrabi K, Gao J, Ailawadhi V, Pottie GJ (2000) Protocols for self organization of a wireless sensor network. IEEE Pers Commun 7(5):16–27
Heinzelman WR, Chandrakasan A, Balakrishnan H (2000) Energy-efficient communication protocol for wireless micro sensor networks. In: Proceedings of international conference system sciences
Huang Y, Lin J, Liang C (2008) An energy efficient routing scheme in wireless sensor networks. In: 22nd international conference on advanced information networking and applications workshops. IEEE, pp 916–921
Han Z, Wu J, Zhang J, Liu L, Tian K (2014) A general self-organized tree-based energy-balance routing protocol for wireless sensor network
Chen P, Gong S, Zhang H (2010) Weighted spanning tree clustering routing algorithm based on LEACH. In: 2nd international conference on future computer and communication (ICFCC’10). IEEE, pp V2–223–V2-227
Yu Y, Govindan R, Estrin D (2001) Geographical and energy aware routing: a recursive data dissemination protocol for wireless sensor networks
Krishnamachari B, Estrin D, Wicker S (2002) The impact of data aggregation in wireless sensor networks. In: Proceedings of 22nd international conference on distributed computing systems workshops, pp 575–78, July 2002
Boulis A, Ganeriwal S, Srivastava MB (2003) Aggregation in sensor networks: an energy-accuracy tradeoff. In: 1st IEEE international workshop on sensor network protocols and applications, USA, May 2003
Yu Y, Krishnamachari B, Prasanna VK (2004) Energy-latency tradeoffs for data gathering in wireless sensor Networks. IEEE INFOCOM
Tan HO, Korpeoglu I (2003) Power efficient data gathering and aggregation in wireless sensor networks. SIGMOD Rec 32(4):66–71
Lindsey S, Raghavendra C, Sivalingam KM (2002) Data gathering algorithms in sensor networks using energy metrics. IEEE Trans Parallel Distrib Syst 13(9):924–935
Kulik J, Rabiner W, Balakrishnan H (1999) Adaptive protocols for information dissemination in wireless sensor networks. In: Proceedings of 5th ACM/IEEE mobicom conference, Seattle, WA, Aug 1999
He T, Blum BM, Stankovic JA, Abdelzaher T (2004) AIDA: adaptive application—independent data aggregation in wireless sensor networks. ACM Trans Embed Comput Syst 3(2):426–457
Tabassum N, QEK Mamun, Urano Y (2007) An energy aware protocol for periodical data collection in wireless sensor networks
Tabassum N, Mamun QEK, Haque AKMA, Urano Y (2006) A chain oriented data collection protocol for energy-aware and delay constrained WSN. Afr J Inf Commun Technol 2(3):126–136
Tabassum N, Mamun QEK, Urano Y (2006) COSEN: a chain oriented sensor network for efficient data collection. In: Third international conference on information technology: new generations (ITNG’06)
Du K, Wu J, Zhou D (2003) Chain-based protocols for data broadcasting and gathering in sensor networks. In: International parallel and distributed processing symposium, Apr 2003
Ding M, Cheng X, Xue G (2003) Aggregation tree construction in sensor networks. 2003 IEEE 58th Veh Technol Conf 4(4):2168–2172
Kalpakis K, Dasgupta K, Namjoshi P (2003) Efficient algorithms for maximum lifetime data gathering and aggregation in wireless sensor networks. Comput Netw 42(6):697–716
Hong B, Prasanna VK (2004) Optimizing system lifetime for data gathering in networked sensor systems. In: Workshop on algorithms for wireless and ad-hoc networks (A-SWAN), Boston, Aug 2004
Sadagopan N (2004) B Krishnamachari (2004) Maximizing data extraction in energy-limited sensor networks. INFOCOM 3:1717–1727
Ordonez F, Krishnamachari B (2004) Optimal information extraction in energy-limited wireless sensor networks. IEEE J Sel Areas Commun 22(6):1121–1129
Xue Y, Cui Y, Nahrstedt K (2005) Maximizing lifetime for data aggregation in wireless sensor networks. In: ACM/Kluwer mobile networks and applications (MONET) special issue on energy constraints and lifetime performance in wireless sensor networks, Dec 2005, pp 853–864
Kim KT, Lyu CH, Moon SS (2010) TBC for energy efficient WSN. In: Proceedings of international conference advanced information networking and application workshop
Parthasarathy P, Karthickeyan R (2014) Tree based data aggregation algorithm to increase the lifetime of wireless sensor network. Int J Innovative Res Sci Eng Technol (IJIRSET) 3(1)
Salam MA, Ferdous T (2012) Tree-based data aggregation algorithms in wireless sensor networks: a survey. In: Proceedings of the 2012 international conference on industrial engineering and operations management Istanbul, Turkey, 3–6 July 2012
Dreef D, Sun B, Xiao Y, Wu K (2006) Secure data aggregation without persistent cryptographic operations in wireless sensor networks. In: 25th IEEE international performance, computing, and communications conference (IPCCC’06), IEEE, pp 635–640
Hussain S, Yang L, Gagarin A (2009) Distributed search for balanced energy consumption spanning trees in wireless sensor networks. In: International conference on advanced information networking and applications workshops, IEEE, pp 1037–1042
https://www.cs.princeton.edu/courses/archive/fall06/cos226/lectures/balanced.pdf
Duarte Melo EJ, Liu M (2003) Data-gathering wireless sensor networks: organization and capacity. Comput Netw Int J Comput Telecommun Netw 43(4)
Vaidhyanathan K, Sur S, Narravula S, Sinha P (2004) Data aggregation techniques sensor networks. In: Technical report, OSU-CISRC-11/04-TR60. Ohio State University
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Pranesh, Deshpande, S.L. (2020). Tree-Based Approaches for Improving Energy Efficiency and Life Time of Wireless Sensor Networks (WSN): A Survey and Future Scope for Research. In: Ranganathan, G., Chen, J., Rocha, Á. (eds) Inventive Communication and Computational Technologies. Lecture Notes in Networks and Systems, vol 89. Springer, Singapore. https://doi.org/10.1007/978-981-15-0146-3_55
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