Review of Routing Protocol in a Wireless Sensor Network for an IOT Application
Journal Title: Computer Reviews Journal - Year 2018, Vol 1, Issue 2
Abstract
IoT (Internet of Things) create network of physical objects. Maximize network lifetime and optimizing the usage of network is the major objective. Survey is made on Delay, Energy, Jitter, Throughput, Packet Delivery Ratio (PDR) with Wireless Sensor Network (WSN) perspective and the routing protocols performance measures by using latency, bandwidth, jitter, delay. We are working on algorithm for improving AODV routing for IoT. Two Table will merge into one i.e. Routing table and internet connecting table for optimizing the protocol. The main goal of our paper is studying simulation study of routing protocol specially AODV for the IoT and use NS2 simulator for performance evolution of AODV and AODV with IoT.
Authors and Affiliations
Rahul Pethe
Keywords
Related Articles
- EP ID EP655266
- DOI -
- Views 164
- Downloads 0
RLS Wiener Fixed-Point Smoother and Filter with Randomly Delayed or Uncertain Observations in Linear Discrete-Time Stochastic Descriptor Systems
The purpose of this paper is to design the recursive least-squares (RLS) Wiener fixed-point smoother and filter in linear discrete-time descriptor systems. The signal process is observed with additional observation noise...
An Ensemble Model of Machine Learning Algorithms for the Severity of Sickle Cell Disease (Scd) Among Paediatrics Patients
This study was motivated at developing an ensemble of 3 supervised machine learning algorithms for the assessment of the severity of sickle cell disease (SCD) among paediatric patients. The study collected data from a te...
A Theoretical Overview of Mobile Networks Environment in Ecuador Prior To 5G
Many countries in the Latin American region experience the technology gap when new technologies are either developing or in testing scenarios. Telecommunications services provider must be encouraged, allowing universal a...
Comparative Analysis of Prognostic Model for Risk Classification of Neonatal Jaundice using Machine Learning Algorithms
This study focused on the development of a prediction model using identified classification factors in order to classify the risk of jaundice in selected neonates. Historical dataset on the distribution of the classifica...
Search Engine Optimization with Google Search Console
This paper is based on how Google search engine optimization effectively works. And the visibility and quality content of the search engine index page. The keyword feature targeted in this paper is to follow Google quali...