Abstract
Internet of Things (IoT) essentially demands smart connectivity and contextual awareness of current networks with low power and cost effective wireless solutions. Routing is the backbone of the system controlling the flow of transmission. This work demonstrates a collation between performance investigations of a location-based routing protocol Geocast Adaptive Mesh Environment for Routing with contextual information collected from Global Positioning System (GPS) and Framework for Internal Navigation and Discovery (FIND) respectively. The systems are evaluated based on various metrics i.e. Accuracy, Packet Delivery Ratio and Packet Overhead by means of Network Simulator (NS-2). FIND shows enhanced performance in most cases as compared to GPS for indoor and outdoor environments. The results of this research can be deployed in different areas such as in-building navigation, hospital patient tracking, Smart City context aware service provisioning and Industry 4.0 deployments.
Highlights
The wireless networks started during the 1970s and their significance has been growing subsequently since
The stated research analyzed a location-based routing protocol Geocast Adaptive Mesh Environment for Routing (GAMER) for ad hoc networks based on the two different geolocation systems i.e. Global Positioning System (GPS) and FIND
The performance analysis was centered on Accuracy, Packet Delivery Ratio (PDR) and Packet Overhead of the system
Summary
The wireless networks started during the 1970s and their significance has been growing subsequently since. Real world and small things with substantial concerns with respect to performance, privacy, security and reliability along with limited processing and storage capacity generally defines IoT [4] This revolutionary idea gives indication to the possibility of smart cities, campuses, health care systems etc. Routing of information (from source to destination) is the significant part of any IoT and wireless sensor network (WSN) solutions. By utilizing location information for mobile hosts, overhead of route discovery can be minimized. This location data is typically assimilated through GPS. FIND can be used as an information source for operations performed through the data collected by motion sensors and GPS.
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