title: A Novel Scheme for an Energy Efficient Internet of Things Based on Wireless Sensor Networks.
abstract: One of the emerging networking standards that gap between the physical world and the cyber one is the Internet of Things. In the Internet of Things, smart objects communicate with each other, data are gathered and certain requests of users are satisfied by different queried data. The development of energy efficient schemes for the IoT is a challenging issue as the IoT becomes more complex due to its large scale the current techniques of wireless sensor networks cannot be applied directly to the IoT. To achieve the green networked IoT, this paper addresses energy efficiency issues by proposing a novel deployment scheme. This scheme, introduces: (1) a hierarchical network design; (2) a model for the energy efficient IoT; (3) a minimum energy consumption transmission algorithm to implement the optimal model. The simulation results show that the new scheme is more energy efficient and flexible than traditional WSN schemes and consequently it can be implemented for efficient communication in the IoT.
authors.affiliation: Research Scholar, Computer Applications, IKG Punjab Technical University, Kapurthala 144601, India. shalli@ssdwit.org.
authors.forename: Shalli
authors.initials: S
authors.lastname: Rani
authors.affiliation: ECE, Jhanjeri, Chandigarh 140307, India. rtphdguidance@gmail.com.
authors.forename: Rajneesh
authors.initials: R
authors.lastname: Talwar
authors.affiliation: ECE, GNDU Regional Campus, Jalandhar 144001, India. jyoteesh@gmail.com.
authors.forename: Jyoteesh
authors.initials: J
authors.lastname: Malhotra
authors.affiliation: School of Computer Science &amp; Engineering, Kyungpook National University, Daegu 702-701, Korea. hassan@knu.ac.kr.
authors.forename: Syed Hassan
authors.initials: SH
authors.lastname: Ahmed
authors.affiliation: Electrical and Computer Engineering Department, San Diego State University, San Diego, CA 98182, USA. msarkar2@mail.sdsu.edu.
authors.forename: Mahasweta
authors.initials: M
authors.lastname: Sarkar
authors.affiliation: Department of Electrical and Computer Engineering, West Virginia University, Montgomery, WV 25136, USA. Houbing.Song@mail.wvu.edu.
authors.forename: Houbing
authors.initials: H
authors.lastname: Song
keywords: Internet of Things; clustering; energy consumption; transmission time; wireless sensor networks