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      A Novel Scheme for an Energy Efficient Internet of Things Based on Wireless Sensor Networks

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          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.

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          An application-specific protocol architecture for wireless microsensor networks

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            HEED: a hybrid, energy-efficient, distributed clustering approach for ad hoc sensor networks

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              Ad hoc On-Demand Distance Vector (AODV) Routing

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                Author and article information

                Contributors
                Role: Academic Editor
                Journal
                Sensors (Basel)
                Sensors (Basel)
                sensors
                Sensors (Basel, Switzerland)
                MDPI
                1424-8220
                12 November 2015
                November 2015
                : 15
                : 11
                : 28603-28626
                Affiliations
                [1 ]Research Scholar, Computer Applications, IKG Punjab Technical University, Kapurthala 144601, India
                [2 ]ECE, Jhanjeri, Chandigarh 140307, India; E-Mail: rtphdguidance@ 123456gmail.com
                [3 ]ECE, GNDU Regional Campus, Jalandhar 144001, India; E-Mail: jyoteesh@ 123456gmail.com
                [4 ]School of Computer Science & Engineering, Kyungpook National University, Daegu 702-701, Korea; E-Mail: hassan@ 123456knu.ac.kr
                [5 ]Electrical and Computer Engineering Department, San Diego State University, San Diego, CA 98182, USA; E-Mail: msarkar2@ 123456mail.sdsu.edu
                [6 ]Department of Electrical and Computer Engineering, West Virginia University, Montgomery, WV 25136, USA; E-Mail: Houbing.Song@ 123456mail.wvu.edu
                Author notes
                [* ]Author to whom correspondence should be addressed; E-Mail: shalli@ 123456ssdwit.org ; Tel.: +91-991-408-0394.
                Article
                sensors-15-28603
                10.3390/s151128603
                4701299
                26569260
                1ddfe2c9-08e3-4dfe-95e2-e7e3aa2700fb
                © 2015 by the authors; licensee MDPI, Basel, Switzerland.

                This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution license ( http://creativecommons.org/licenses/by/4.0/).

                History
                : 21 September 2015
                : 02 November 2015
                Categories
                Article

                Biomedical engineering
                internet of things,wireless sensor networks,clustering,energy consumption,transmission time

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