Energy-Efficient Network Protocols and Resilient Data Transmission Schemes for Wireless Sensor Networks—An Experimental Survey

Dharmesh Dhabliya, Rajasoundaran Soundararajan, Parthiban Selvarasu, Maruthi Shankar Balasubramaniam, Anand Singh Rajawat, S. B. Goyal (), Maria Simona Raboaca (), Traian Candin Mihaltan, Chaman Verma and George Suciu ()
Additional contact information
Dharmesh Dhabliya: Department of IT, Vishwakarma Institute of Information Technology, Pune 411048, India
Rajasoundaran Soundararajan: School of Computing Science and Engineering, VIT Bhopal University, Sehore 466114, India
Parthiban Selvarasu: Department of CSE, Saveetha School of Engineering, Saveetha Institute of Medical and Technical Sciences, Chennai 602105, India
Maruthi Shankar Balasubramaniam: Department of ECE, Sri Krishna College of Engineering and Technology, Coimbatore 641008, India
Anand Singh Rajawat: School of Computer Science and Engineering, Sandip University, Nashik 422213, India
S. B. Goyal: Faculty of Information Technology, City University, Petaling Jaya 46100, Malaysia
Maria Simona Raboaca: ICSI Energy Department, National Research and Development Institute for Cryogenics and Isotopic Technologies, 240050 Ramnicu Valcea, Romania
Traian Candin Mihaltan: Faculty of Building Services, Technical University of Cluj-Napoca, 40033 Cluj-Napoca, Romania
Chaman Verma: Department of Media and Educational Informatics, Faculty of Informatics, Eötvös Loránd University, 1053 Budapest, Hungary
George Suciu: R&D Department, Beia Consult International, 041386 Bucharest, Romania

Energies, 2022, vol. 15, issue 23, 1-33

Abstract: Wireless sensor networks (WSNs) are considerably used for various environmental sensing applications. The architecture and internal specifications of WSNs have been chosen based on the requirements of particular applications. On this basis, WSNs consist of resource (energy and memory)-limited wireless sensor nodes. WSNs initiate data communication from source to destination via physical layer management principles, channel slot scheduling principles (time division multiple access), wireless medium access control (WMAC) protocols, wireless routing protocols and application protocols. In this environment, the development of WMAC principles, routing protocols and channel allotment schemes play crucial roles in network communication phases. Consequently, these layering functions consume more energy at each sensor node, which leads to minimal network lifetime. Even though the channel management schemes, medium control protocols and routing protocols are functionally suitable, the excessive energy consumption affects the overall network performance. In this situation, energy optimization algorithms are advised to minimize the resource wastage of WSNs during regular operations (medium control and routing process). Many research works struggle to identify the optimal energy-efficient load balancing strategies to improve WSN functions. With this in mind, the proposed article has conducted a detailed literature review and notable experimental comparisons on energy-efficient MAC protocols, channel scheduling policies and energy-efficient routing protocols. To an extent, the detailed analysis over these wireless network operations helps to understand the benefits and limitations of recent research works. In the experimental section of this article, eight existing techniques are evaluated under energy optimization strategies (WMAC, channel allocation, sleep/wake protocols, integrated routing and WMAC policies, balanced routing and cooperative routing). The proposed review and the classified technical observations collected from notable recent works have been recognized as crucial contributions. The results infer the suggestions for feasible WSN communication strategies with optimal channel management policies and routing policies. Notably, the simulation results show that cross-layer or multi-layer energy optimization policies perform better than homogeneous energy optimization models.

Keywords: wireless sensor network; energy optimization; MAC; routing; review and data communication (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2022
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (1)

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