journal article·2021Open access

Energy Efficient Ambience Awake Routing with OpenFlow Approach

Hima Bindu Valiveti, SNV Ganesh, Budati Anil Kumar, Dileep Kumar Yadav

Computers, Materials & Continua· Volume 67· Issue 2

Abstract

A major problem in networking has always been energy consumption. Battery life is one parameter which could help improve Energy Efficiency. Existing research on wireless networking stresses on reducing signaling messages or time required for data transfer for addressing energy consumption issues. Routing or Forwarding packets in a network between the network elements like routers, switches, wireless access points, etc., is complex in conventional networks. With the advent of Software Defined Networking (SDN) for 5G network architectures, the distributed networking has embarked onto centralized networking, wherein the SDN Controller is responsible for decision making. The controller pushes its decision onto the network elements with the help of a control plane protocol termed OpenFlow. Decentralized networks have been largely in use because of their ease in physical and logically setting the administrative hierarchies. The centralized controller deals with the policy funding and the protocols used for routing procedures are designated by the decentralized controller. Ambience Awake is a location centered routing protocol deployed in the 5G network architecture with OpenFlow model. The Ambience Awake mechanism relies on the power consumption of the network elements during the packet transmission for unicast and multicast scenarios. The signalling load and the routing overhead witnessed an improvement of 30% during the routing procedure. The proposed routing mechanism run on the top of the decentralized SDN controller proves to be 19.59% more efficient than the existing routing solutions.
Source: openalex_inverted_index · Quality: baseline

Research context

OpenAlex topics: Software-Defined Networks and 5G · IoT and Edge/Fog Computing · IoT Networks and Protocols

SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.

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