An Efficient Compressive Sensing Routing Scheme for Internet of Things Based Wireless Sensor Networks
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An Efficient Compressive Sensing Routing Scheme for Internet of Things Based Wireless Sensor Networks Ahmed Aziz1,4 · Karan Singh2 · Walid Osamy1,5 · Ahmed M. Khedr3
© Springer Science+Business Media, LLC, part of Springer Nature 2020
Abstract Internet of Things (IoT) integrates diverse types of sensors, mobiles and other technologies to physical world and IoT technology is used in a wide range of applications. Compressive sensing based in-network compression is an efficient technique to reduce communication cost and accurately recover sensory data at the base station. In this paper, we investigate how compressive sensing can be combined with routing protocols for energy efficient data gathering in IoT-based wireless sensor networks. We propose a new compressive sensing routing scheme that includes the following new algorithms: (1) seed estimation algorithm to find the best measurement matrix by selecting the best-estimated seed, (2) chain construction algorithm to organize the network nodes during transmitting and receiving process, (3) compression approach to reduce the energy consumption and prolong the network lifetime by reducing the local data traffic, and (4) reconstruction algorithm to reconstruct the original data with minimum reconstruction error. The simulation results reveal that the proposed scheme outperforms existing baseline algorithms in terms of energy consumption, network lifetime and reconstruction error. Keywords Compressive sensing · Data gathering · Internet of Things · Measurement matrix · Routing protocol · Reconstruction error · Seed estimation · Wireless sensor networks
* Ahmed M. Khedr [email protected] Ahmed Aziz [email protected] Karan Singh [email protected] Walid Osamy [email protected] 1
Faculty of Computers and Artificial Intelligence, University of Benha, Benha, Egypt
2
School of Computer and System Science, Jawaharlal Nehru University, New Delhi, India
3
Computer Science Department, University of Sharjah, 27272 Sharjah, UAE
4
Faculty of Engineering and Technology, Sharda University, Andijon City, Uzbekistan
5
Department of Applied Science, Community College, Qassim University, Unaizah, Saudi Arabia
13
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A. Aziz et al.
1 Introduction Internet of Things (IoT) is an emerging field of research where researchers attempt to connect/interact everyday items to the Internet [1, 2]. IoT sensors or computing networks can be embedded in living as well as inanimate objects, including clothing, food, plants, animals and vehicles. The augmentation of these objects with computational capabilities extends their functions and promises to transform numerous fields such as health, logistics, military, and entertainment industries [3–6]. In last few years, Wireless Sensor Network (WSN) applications in particular surveillance, transportation and monitoring applications have attracted a number of researchers [7–10]. The massive energy constraints of densely integrated sensor nodes resulted in several routing protocols for wireless sensors suc
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