SDN-Based Resource Reservation Protocol for IoT applications in Constrained Networks
Shubha Rao V1, M.Dakshayini2
1Shubha Rao V, PhD in Computer Science at Visvesvaraya Technological University, Belgaum, Karnataka.
2M.Dakshayini, Professor in the department ofInformation science and engineering at BMS College Of Engineering, Bangalore, India.
Manuscript received on 02 July 2019 | Revised Manuscript received on 09 July 2019 | Manuscript published on 30 August 2019 | PP: 1495-1498 | Volume-8 Issue-10, August 2019 | Retrieval Number: J87990881019/2019©BEIESP | DOI: 10.35940/ijitee.J8799.0881019
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: Constrained netwrks like Wireless Sensor Networks have been identified as a promising scheme for next-generation wireless networks. These networks are capable of capturing data from the physical world without human intervention possessing applications such as IoT in various fields of life that require reliable and précised end to end delivery. However, Wireless Sensor Networks inevitably suffers from severe resource constraints and hence promising the provision of desired QoS is a challenge. In most of the applications like military, medical surveillance. Data captured are critical and hence the transmission of such data entails a minimal end to end delay. In constrained networks achieving minimal delay with effective utilization of resources are important cost factors for achieving an end to end delivery. In this Paper, a Software-defined Networking (SDN), based resource reservation protocol, which leverages SDN to centrally process the whole control logic and accordingly decides the amount of resources to be allocated for each data flow alleviating the processing overhead of all other nodes thus minimizing the energy consumption is proposed. The proposed algorithm is evaluated through simulation and the results obtained proved the efficiency of the proposed protocol by effectively minimizing the system’s energy consumption and end to end delay
Keywords: Critical data, Energy utilization, Internet of Things, Resource reservation protocol, Software Defined Networks, Wireless Sensor Networks.
Scope of the Article: IoT