PACKET LOSS DIFFERENTIATION OVER MANET BASED ON A BP NEURAL NETWORK
Journal Title: Journal of Information Technology and Application (JITA) - Year 2018, Vol 8, Issue 1
Abstract
An adaptive distributed routing algorithm is essential in MANETs, since there is no central routing system. Actually, there is no central point of coordination; each node is responsible for forwarding data packets to other nodes, thereby acting as router and host. A packet might travel through multiple intermediary ad hoc nodes in order to arrive to its destination, while the nature of wireless multi-hop channel is bringing in various types of packet losses. This paper focuses on three main reasons of online packet losses in MANETs: (1) losses due to wireless link errors; (2) losses due to congestion; and (3) losses due to route alteration. It proposes a deep learning-based algorithm for packet loss discrimination. The algorithm uses the backpropagation neural network (BPNN) concept. We performed simulation experiments for evaluating the performance of the proposed loss discrimination algorithm under different network conigurations. Through simulation results, we conirmed that the proposed algorithm improves packet loss discrimination and route alteration in the network. It also reduces congestion and increases network throughput.
Authors and Affiliations
Dimitris Kanellopoulos Pratik Gite
Keywords
Related Articles
- EP ID EP611303
- DOI 10.7251/JIT1801018K
- Views 134
- Downloads 0
EU SERVICE DIRECTIVE, DIGITAL IDENTITY AND ID DOCUMENTS IN BOSNIA AND HERZEGOVINA
Abstract: In 2006, the European Union adopted the Services Directive, which establishes the obligation to establish unique points of contact through which citizens and businesses receive certain services from government...
DIGITAL SIGNAL PROCESSING APPLICATIONS WITH ITERATIVE LOGARITHMIC MULTIPLIERS
Many digital signal processing applications demand a huge number of multiplications, which are time, power and area consuming. But input data is often corrupted with noise, which means that a few least signifi cant bits...
COMPARATIVE ANALYSIS OF DATA MINING TECHNIQUES APPLIED TO WIRELESS SENSOR NETWORK DATA FOR FIRE DETECTION
Wireless sensor networks (WSN) are a rapidly growing area for research and commercial development with very wide range of applications. Using WSNs many critical events like fi re can be detected earlier to prevent loosin...
A NEW APPROACH TO COMPUTER ANALYSIS OF QUEUING SYSTEMS WITHOUT PROGRAMMING
The paper presents original object oriented programming system ARS for modelling and simulation queuing systems. Programming system was developed in programming language C++. It establishes connection with intrinsic, but...
SOLVING THE CHIEF EXECUTIVE OFFICER SELECTION PROBLEM USING THE FUZZY DECISION SUPPORT SYSTEM
Chief Executive Offi cer (CEO) selection as a subset of personnel selection asks for different characteristic compared to a selection of other personnel. The reason for this is the polymorphic nature of the CEO role. The...