Abstract
Nowadays, wireless sensor network (WSN) is an essential segment in the Internet of Things (IoT) paradigm. Essentially, WSN provides access to location, latest information of different objects of the environment, computing and communication for IoT monitoring. Considering distance as a critical factor, the communication process is energy healing as compared to computing; due to this, energy is found as one of the major constraints for WSN. As per the application, sensor devices may have either limited or unlimited power backup. Hence, they must connect directly from the power supply or battery, which needs energy-efficiency to sustain in the network. In this paper, we propose a segmented sector network that can work efficiently to increase the lifetime of the network. Heterogeneity parameters for sensor nodes are used, normal nodes transmit the information using direct diffusion & advanced nodes participate in the clustering process. With such integration of direct diffusion and clustering, the network lifetime and stability increase significantly by sectoring the network field. Simulation results of the proposed scheme show significant improvement in the energy efficiency by 11% and stability by 19% compared to the Z-SEP protocol.
Similar content being viewed by others
References
Roy SK, Roy A, Misra S, Raghuwanshi NS, Obaidat MS (2015) AID: A prototype for agricultural intrusion detection using wireless sensor network. In: 2015 IEEE International conference on communications (ICC), pp 7059–7064
Tyagi S, Tanwar S, Gupta S, Kumar N, Rodrigues J (2014) Selective cluster based temperature monitoring system for homogeneous wireless sensor networks. ZTE Communications 12:22–29
Verma VK, Gupta P, Jha AV, Barbhuiya PN (2017) Recent trends in wireless sensors for medical applications. In: 2017 International conference on communication and signal processing (ICCSP). IEEE
Singh PK, Sharma A (2017) An insight to forest fire detection techniques using wireless sensor networks. In: 2017 4th International conference on signal processing, computing and control (ISPCC), pp 647–653
Malaver A, Motta N, Corke P, Gonzalez F, Passaro VMN, Lamberti F (2015) Development and integration of a solar powered unmanned aerial vehicle and a wireless sensor network to monitor greenhouse gases. Sensors 15:4072–4096
Boubrima A, Bechkit W, Rivano H (2017) Optimal WSN deployment models for air pollution monitoring. IEEE Transactions on Wireless Communications 16:2723–2735
BenSaleh MS, Saida R, Kacem YH, Abid M (2020) Wireless sensor network design methodologies: A survey. Journal of Sensors 2020:1–13
Li Y, Zhao Y, Zhang Y (2019) A spanning tree construction algorithm for industrial wireless sensor networks based on quantum artificial bee colony. EURASIP Journal on Wireless Communications and Networking:2019
Rabiner HW, Anantha C, Hari B (2000) Energy-efficient communication protocol for wireless microsensor networks. In: Proceedings of the 33rd annual hawaii international conference on system sciences. IEEE Comput. Soc
Smaragdakis G, Matta I, Bestavros A (2004) SEP : A stable election protocol for clustered heterogeneous wireless sensor networks
Aderohunmu FA, Deng JD, Others, (2009) An enhanced stable election protocol (sep) for clustered heterogeneous wsn. Department of Information Science, University of Otago, New Zealand
Tyagi S, Gupta SK, Tanwar S, Kumar N (2013) EHE-LEACH: Enhanced heterogeneous LEACH protocol for lifetime enhancement of wireless SNs. In: 2013 International conference on advances in computing, communications and informatics (ICACCI), pp 1485–1490
Open fog reference architecture for fog computing. Open Fog Consortium Architecture Working Group, (2017)
Gupta SK, Kumar S, Tyagi S, Tanwar S (2020) Energy efficient routing protocols for wireless sensor network. 1132, Springer International Publishing
Gupta P, Sharma A (2020) Clustering-based heterogeneous optimized-HEED protocols for WSNs. Soft Computing 24(3):1737–1761
Gou H, Yoo Y, Zeng H (2009) A partition-based LEACH algorithm for wireless sensor networks. In: 2009 Ninth IEEE international conference on computer and information technology, vol 2, pp 40–45
Mahboub A, En-Naimi EM, Arioua M, Ez-Zazi I, El Oualkadi A (2016) Multi-zonal approach clustering based on stable election protocol in heterogeneous wireless sensor networks, In: 2016 4th IEEE international colloquium on information science and technology (CiSt), pp 912–917
Jain N, Trivedi P (2012) An adaptive sectoring and cluster head selection based multi-hop routing algorithm for WSN. In: 2012 Nirma University international conference on engineering (NUiCONE), pp 1–6
Tanwar S, Tyagi S, Kumar N, Obaidat MS (2019) LA-MHR: Learning automata based multilevel heterogeneous routing for opportunistic shared spectrum access to enhance lifetime of WSN. IEEE Systems Journal 13:313–323
Tyagi S, Tanwar S, Kumar N, Rodrigues JJPC (2015) Cognitive radio-based clustering for opportunistic shared spectrum access to enhance lifetime of wireless sensor network. Pervasive and Mobile Computing 22:90–112
Kumar N, Tyagi S, Deng D-J (2014) LA-EEHSC: Learning automata-based energy efficient heterogeneous selective clustering for wireless sensor networks. Journal of Network and Computer Applications 46:264–279
Tyagi S, Kumar N (2013) A systematic review on clustering and routing techniques based upon LEACH protocol for wireless sensor networks
Rishiwal V, Singh O, Tanwar S, Tyagi S, Budhiraja I, Kumar N, Obaidat MS (2018) Base station oriented multi route diversity protocol for wireless sensor networks, In: 2018 IEEE Globecom workshops (GC Wkshps), pp 1–6
Tyagi S, Tanwar S, Kumar N (2015) Learning automata-based coverage oriented clustering in HWSNs, In: 2015 Second international conference on advances in computing and communication engineering, pp 78–83
Dutt S, Kaur G, Agrawal S (2019) Energy efficient sector-based clustering protocol for heterogeneous WSN. Springer, vol 46, pp 117–125
Sundaran K, Ganapathy V, Sudhakara P (2017) Energy minimization in wireless sensor networks by incorporating unequal clusters in multi-sector environment. Cluster Computing, Springer 22:9599–9613
Sudha C, Suresh D, Nagesh A (2020) An enhanced dynamic cluster head selection approach to reduce energy consumption in WSN. Book Series, Springer, pp 215–224
Alghamdi TA (2020) Energy efficient protocol in wireless sensor network: optimized cluster head selection model. Telecommunication Systems 74:331–345
Anandh SJ, Baburaj E (2020) Energy efficient routing technique for wireless sensor networks using ant-colony optimization, wireless personal communications
Arikumar KS, Natarajan V, Satapathy SC (2020) EELTM: An energy efficient lifetime maximization approach for WSN by PSO and fuzzy-based unequal clustering. Arabian Journal for Science and Engineering
Famila S, Jawahar A (2020) Improved artificial bee colony optimization-based clustering technique for WSNs. Wireless Personal Communications 110:2195–2212
Sah DK, Amgoth T (2020) A novel efficient clustering protocol for energy harvesting in wireless sensor networks. Wireless Networks 26:4723–4737
Nori MK, Sharifian S (2020) EDMARA2: a hierarchical routing protocol for EH-WSNs. Wireless Networks:24
Loganathan S, Arumugam J (2019) Energy centroid clustering algorithm to enhance the network lifetime of wireless sensor networks. Multidimensional Systems and Signal Processing 31:829–856
Micheletti M, Mostarda L, Navarra A (2019) CER-CH: Combining Election and Routing Amongst Cluster Heads in Heterogeneous WSNs. IEEE Access 7:125481–125493
Agrawal A, Singh V, Jain S, Gupta RK (2018) GCRP: Grid-cycle routing protocol for wireless sensor network with mobile sink. AEU - International Journal of Electronics and Communications 94:1–11
Faisal S, Javaid N, Javaid A, Khan MA, Bouk SH, Khan ZA (2013) Z-SEP: Zonal-stable election protocol for wireless sensor networks. arxiv:1303.5364
Kumar H, Singh PK (2017) Node energy based approach to improve network lifetime and throughput in wireless sensor networks, Journal of Telecommunication. Electronic and Computer Engineering (JTEC) 9(3–6):79–88
Hong C, Zhang Y, Xiong Z, Xu A, Chen H, Ding W (2018) FADS : Circular/spherical sector based forwarding area division and adaptive forwarding area selection routing protocol in WSNs. Ad Hoc Networks 70:121–134
Sharma R, Sohi BS, Mittal N (2019) Zone-based energy efficient routing protocols for wireless sensor networks. Scalable computing: Practice and experience 20:55–70
C. Intanagonwiwat, R. Govindan, and D. Estrin (2000) Directed diffusion: A scalable and robust communication paradigm for sensor networks. In: Proceedings of the 6th annual international conference on mobile computing and networking, MobiCom ’00, (New York, NY, USA), ACM, pp 56–67
Author information
Authors and Affiliations
Corresponding author
Ethics declarations
Conflicts of interest
There is no conflict of interest.
Rights and permissions
About this article
Cite this article
Gupta, S.K., Kumar, S., Tyagi, S. et al. SSEER: Segmented sectors in energy efficient routing for wireless sensor network. Multimed Tools Appl 81, 34697–34715 (2022). https://doi.org/10.1007/s11042-021-11829-5
Received:
Revised:
Accepted:
Published:
Issue Date:
DOI: https://doi.org/10.1007/s11042-021-11829-5