Adaptive Secure Energy Efficiency Routing Protocol for Wireless Sensor Network

Authors

  • Sravankumar Bethi Department of Computer Science and Engineering, Koneru Lakshmaiah Education Foundation, Vaddeswaram, Andhra Pradesh, India https://orcid.org/0000-0003-0811-1664
  • Nageswara Rao Moparthi Department of Computer Science and Engineering, Koneru Lakshmaiah Education Foundation, Vaddeswaram, Andhra Pradesh, India https://orcid.org/0000-0001-6406-4554

DOI:

https://doi.org/10.13052/jmm1550-4646.1843

Keywords:

Attack Indicator, Co-operation Phase, Energy Efficiency, Gaussian distribution, Wireless Sensor Network

Abstract

Wireless Sensor Network (WSN) is highly used in many applications for monitoring purposes. Many researchers were carried out in energy efficiency and security to improve network performance. In this research, the Adaptive Secure Energy Efficiency Routing Protocol (ASEERP) is proposed to improve security and reduce the energy consumption of the WSN. Gaussian distribution is used in this model to improve the synchronization of the model for the routing. Initialization of the node is carried out based on the residual energy of the node and neighbor node of WSN. The model routing phase transmits the data based on direct transmission and relay transmission based on path availability and distance. The direct transmission is carried out in a possible scenario to save energy in the neighbor nodes. The co-operation phase in the model helps to select the best relay based on the residual energy if the transmission is carried out based on the relay node. The source information and relay information are combined to analyze the neighbourhood information to adaptively select the optimal path in the model. The incoming packets and outgoing packets of the sensor nodes are measured to detect the attack and attack indicator estimation is used to detect the malicious node to deny access to it. The proposed ASEERP model has an energy consumption of 57 J, the existing LEACH-C model has 80 J and the SMEER model has 72 J for 600 ms time.

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Author Biographies

Sravankumar Bethi, Department of Computer Science and Engineering, Koneru Lakshmaiah Education Foundation, Vaddeswaram, Andhra Pradesh, India

Sravankumar Bethi is a research scholar in the Department of Computer Science and Engineering from KL University, India, and working as Assistant Professor in Vaagdevi College of Engineering, Warangal, India. His major domain/specialization is Wireless Sensor Networks.

Nageswara Rao Moparthi, Department of Computer Science and Engineering, Koneru Lakshmaiah Education Foundation, Vaddeswaram, Andhra Pradesh, India

Nageswara Rao Moparthi is working as a Professor in the Department of Computer Science and Engineering from KL University, India. His major domain/specialization in the doctorate is Software Engineering application with Data Mining techniques. His areas of expertize are Data Mining, Data Analytics, Machine Learning, Soft Engineering, Networking & IoT. He has around 13 years of IT-Industry exposure with major MNCs as well. Currently active as Reviewer member (SCI, Scopus) & Editorial board member of International journals’ publishers like Inderscience, Springer, IGI Global & Science Publishing and Organize member/TPC for 15 International conferences.

References

W. Elsayed, M. Elhoseny, S. Sabbeh, A. Riad, ‘Self-maintenance model for wireless sensor networks’, Comput. Electr. Eng., vol. 70, pp. 799–812, Aug., 2018.

H. Mostafaei, ‘Energy-efficient algorithm for reliable routing of wireless sensor networks’, IEEE Trans. Ind. Electron., vol. 66, no. 7, pp. 5567–5575, Sep., 2018.

A. Sangaiah, M. Sadeghilalimi, A. Hosseinabadi, W. Zhang, ‘Energy consumption in point-coverage wireless sensor networks via bat algorithm’, IEEE Access, vol. 7, pp. 180258–180269, Nov., 2019.

K. Chu, D. Horng, K. Chang, ‘Numerical optimization of the energy consumption for wireless sensor networks based on an improved ant colony algorithm’, IEEE Access, vol. 7, pp. 105562–105571, Jul., 2019.

X. Yang, L. Wang, J. Xie, Z. Zhang, ‘Energy efficiency TDMA/CSMA hybrid protocol with power control for WSN’, Wireless Commun. Mobile Comput., pp. 4168354, Jan., 2018.

S. Jha, E. Eyong, ‘An energy optimization in wireless sensor networks by using genetic algorithm’, Telecommunication Systems, vol. 67, no. 1, pp. 113–121, Jan., 2018.

Z. Zhao, D. Shi, G. Hui, X. Zhang, ‘An energy-optimization clustering routing protocol based on dynamic hierarchical clustering in 3D WSNs’, IEEE Access, vol. 7, pp. 80159–80173, Jun., 2019.

K. Dattatraya, K. Rao, ‘Hybrid based cluster head selection for maximizing network lifetime and energy efficiency in WSN’, Journal of King Saud University-Computer and Information Sciences, Apr., 2019.

A. Vinitha, M. Rukmini, ‘Secure and energy aware multi-hop routing protocol in WSN using Taylor-based hybrid optimization algorithm’, Journal of King Saud University-Computer and Information Sciences, Nov., 2019.

N. Mazumdar, A. Nag, S. Nandi, ‘HDDS: Hierarchical Data Dissemination Strategy for energy optimization in dynamic wireless sensor network under harsh environments’, Ad Hoc Networks, vol. 111, pp. 102348, Feb., 2021.

R. Bhardwaj, D. Kumar, ‘MOFPL: Multi-objective fractional particle lion algorithm for the energy aware routing in the WSN’, Pervasive Mob. Comput., vol. 58, pp. 101029, Aug., 2019.

F. Engmann, F. Katsriku, J. Abdulai, K. Adu-Manu, F. Banaseka, ‘Prolonging the lifetime of wireless sensor networks: a review of current techniques’, Wireless Commun. Mobile Comput., pp. 8035065, Aug., 2018.

Z. Liu, W. Liu, Q. Ma, G. Liu, L. Zhang, L. Fang, V. Sheng, ‘Security cooperation model based on topology control and time synchronization for wireless sensor networks’, J. Commun. Networks, vol. 21, no. 5, pp. 469–480, Aug., 2019.

G. Dhand, S. Tyagi, ‘SMEER: secure multi-tier energy efficient routing protocol for hierarchical wireless sensor networks’, Wireless Personal Communications, vol. 105, no. 1, pp. 17–35, Mar., 2019.

O. Saraereh, I. Khan, B. Lee, ‘An efficient neighbor discovery scheme for mobile WSN’, IEEE Access, vol. 7, pp. 4843–4855, Dec., 2018.

M. Ezhilarasi, V. Krishnaveni, ‘An evolutionary multipath energy-efficient routing protocol (EMEER) for network lifetime enhancement in wireless sensor networks’, Soft Comput., vol. 23, no. 18, pp. 8367–8377, Sep., 2019.

E. Elsmany, M. Omar, T. Wan, A. Altahir, ‘EESRA: Energy efficient scalable routing algorithm for wireless sensor networks’, IEEE Access, vol. 7, pp. 96974–96983, Jul., 2019.

K. Haseeb, A. Almogren, N. Islam, I. Ud Din, Z. Jan, ‘An energy-efficient and secure routing protocol for intrusion avoidance in IoT-based WSN’, Energies, vol. 12, no. 21, pp. 4174, Nov., 2019.

M. Selvi, K. Thangaramya, S. Ganapathy, K. Kulothungan, H.K. Nehemiah, A. Kannan, ‘An energy aware trust based secure routing algorithm for effective communication in wireless sensor networks’, Wireless Personal Communications, vol. 105, no. 4, pp. 1475–1490, Apr., 2019.

M. Mathapati, T.S. Kumaran, A. Muruganandham, M. Mathivanan, ‘Secure routing scheme with multi-dimensional trust evaluation for wireless sensor network’, J. Ambient Intell. Hum. Comput., vol. 12, no. 6, pp. 6047–6055, Jun., 2021.

S.S. Sathya, K. Umadevi, ‘An optimized distributed secure routing protocol using dynamic rate aware classified key for improving network security in wireless sensor network’, J. Ambient Intell. Hum. Comput., vol. 12, no. 7, pp. 7165–7171, Jul., 2021.

P.S. Khot, U. Naik, ‘Particle-Water Wave Optimization for Secure Routing in Wireless Sensor Network Using Cluster Head Selection’, Wireless Personal Communications, vol. 119, pp. 2405–2429, Aug., 2021.

A. Kumar, V. Varadarajan, A. Kumar, P. Dadheech, S.S. Choudhary, V.D.A. Kumar, B.K. Panigrahi, K.C. Veluvolu, ‘Black hole attack detection in vehicular ad-hoc network using secure AODV routing algorithm’, Microprocess. Microsyst., vol. 80, pp. 103352, Feb., 2021.

T. Yang, Y. Niu, J. Yu, ‘Clock synchronization in wireless sensor networks based on Bayesian estimation’, IEEE Access, vol. 8, pp. 69683–69694, Apr., 2020.

W. Hu, L. Gao, T. Dong, ‘Data-driven optimal synchronization for complex networks with unknown dynamics’, IEEE Access, vol. 8, pp. 224083–224091, Dec., 2020.

H. Zhu, K. Liu, Y. Yan, H. Zhang, T. Huang, ‘Measures to improve the accuracy and reliability of clock synchronization in time-sensitive networking’, IEEE Access, vol. 8, pp. 192368–192378, Oct., 2020.

A.M. El-Semary, H. Diab, ‘BP-AODV: Blackhole protected AODV routing protocol for MANETs based on chaotic map’, IEEE Access, vol. 7, pp. 95197–95211, Jul., 2019.

K. Saeed, W. Khalil, S. Ahmed, I. Ahmad, M. Khattak, ‘SEECR: Secure energy efficient and cooperative routing protocol for underwater wireless sensor networks’, IEEE Access, vol. 8, pp. 107419–107433, Jun., 2020.

C. Zhou, M. Wang, W. Qu, Z. Lu, ‘A wireless sensor network model considering energy consumption balance’, Math. Probl. Eng., pp. 8592821, Jan., 2018.

F. Lei, J. Cai, Q. Dai, H. Zhao, ‘Deep learning based proactive caching for effective wsn-enabled vision applications’, Complexity, pp. 5498606, May., 2019.

M. Gunasekaran, S. Periakaruppan, ‘GA-DoSLD: genetic algorithm based denial-of-sleep attack detection in WSN’, Secur. Commun. Netw., pp. 9863032, Jan., 2017.

G. Rahman, K. Wahid, ‘LDAP: Lightweight Dynamic Auto-Reconfigurable Protocol in an IoT-Enabled WSN for Wide-Area Remote Monitoring’, Remote Sens., vol. 12, no. 19, pp. 3131, Jan., 2020.

P. Devi, B. Jaison, ‘Protection on wireless sensor network from clone attack using the SDN-enabled hybrid clone node detection mechanisms’, Comput. Commun., vol. 152, pp. 316–322, Feb., 2020.

K. Cho, Y. Cho, ‘HyperLedger fabric-based proactive defense against inside attackers in the WSN with trust mechanism’, Electron., vol. 9, no. 10, pp. 1659, Oct., 2020.

M. Premkumar, T. Sundararajan, ‘DLDM: Deep learning-based defense mechanism for denial of service attacks in wireless sensor networks’, Microprocess. Microsyst., vol. 79, pp. 103278, Nov., 2020.

J. Luo, Z. Zhang, C. Liu, H. Luo, ‘Reliable and cooperative target tracking based on WSN and WiFi in indoor wireless networks’, IEEE Access, vol. 6, pp. 24846–24855, Apr., 2018.

S. Lee, J. Yoon, B. Jung, ‘A cooperative phase-steering technique with on-off power control for spectrum sharing-based wireless sensor networks’, Sens., vol. 20, no. 7, pp. 1942, Jan., 2020.

Published

2022-03-16

How to Cite

Bethi, S. ., & Moparthi, N. R. . (2022). Adaptive Secure Energy Efficiency Routing Protocol for Wireless Sensor Network. Journal of Mobile Multimedia, 18(04), 1009–1034. https://doi.org/10.13052/jmm1550-4646.1843

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Articles