Name of the College : Mahatma Gandhi University
Department : Computer Science and Engineering
Subject Code/Name : MCSCS 106-4/MOBILE COMMUNICATION NETWORKS
Sem : I
Website : mgu.ac.in
Document Type : Model Question Paper
Download Model/Sample Question Paper :
I : https://www.pdfquestion.in/uploads/mgu.ac.in/5018-1-MCSCS%20106-4%20Mobile%20Communication%20Networks%20set1.doc
II : https://www.pdfquestion.in/uploads/mgu.ac.in/5018-2-MCSCS%20106-4%20Mobile%20Communication%20Networks%20set2(1).doc
MGU Mobile Communication Networks Question Paper
M.TECH. DEGREE EXAMINATION :
Branch: Computer Science and Engineering
Specialization : Computer Science and Engineering
Model Question Paper – II
First Semester :
MCSCS 106-4 MOBILE COMMUNICATION NETWORKS (Elective II)
(Regular – 201
3 Admission onwards)
Time: 3 Hours Max Marks: 100
Related : Mahatma Gandhi University B.Sc Computer Science Question Paper Model : www.pdfquestion.in/7523.html
Model Questions
Elective – I
Answer the following Questions. :
1. a) Briefly Explain different multiplexing schemes (7)
b) Explain wireless communication concepts (8)
c) Explain the bus and memory architectures (10)
or
2. a) Explain the challenges of mobile computing? (6)
b) Explain the different modulation techniques? (9)
c) Explain the I/O architecture? (10)
3. a) Explain PalmOs and WindowsCE?(8)
b) Explain the principles of caching and hoarding? (9)
c) Explain collaborative processing with Jini? (8)
or
4. a) Explain resource and service discovery in mobile agents? (8)
b) Compare sensor and actuator? (9)
c) Explain about the various routing algorithms?(8)
5. a) What is TinyOS? (7)
b) Explain programming in sensor networks? (8)
c) Explain localization and synchronization techniques in sensor networks? (10)
or
6. a) Compare middleware ,context-aware middleware , reflective middleware ? (7)
b) Briefly explain GIS architecture? (10)
c) What is tuple-space middleware? (8)
7. a) Explain LBS architecture? (8)
b) Explain functionalities of mobile computing middleware? (8)
c) Explain handoff and location management concepts? (9)
or
8. a) What do you meant by publication or subscription middleware? (7)
b) Explain about mobile Adhoc networks? (8)
c) Explain the mobile positioning techniques? (10)
Elective – II
MCSCS 106-4
MOBILE COMMUNICATION NETWORKS : (Elective II)
(Regular – 2013 Admission onwards)
Time: 3 Hours
Max Marks: 100
Answer the following Questions. :
1. a) Briefly Explain different multiplexing schemes (7)
b) Explain wireless communication concepts (8)
c) Explain the bus and memory architectures (10)
or
2. a) Explain the challenges of mobile computing? (6)
b) Explain the different modulation techniques? (9)
c) Explain the I/O architecture? (10)
3. a) Explain PalmOs and WindowsCE?(8)
b) Explain the principles of caching and hoarding? (9)
c) Explain collaborative processing with Jini? (8)
or
4. a) Explain resource and service discovery in mobile agents? (8)
b) Compare sensor and actuator? (9)
c) Explain about the various routing algorithms?(8)
5. a) What is TinyOS? (7)
b) Explain programming in sensor networks? (8)
c) Explain localization and synchronization techniques in sensor networks? (10)
or
6. a) Compare middleware ,context-aware middleware , reflective middleware ? (7)
b) Briefly explain GIS architecture? (10)
c) What is tuple-space middleware? (8)
7. a) Explain LBS architecture? (8)
b) Explain functionalities of mobile computing middleware? (8)
c) Explain handoff and location management concepts? (9)
or
8. a) What do you meant by publication or subscription middleware? (7)
b) Explain about mobile Adhoc networks? (8)
c) Explain the mobile positioning techniques? (10)
Computational Intelligence
Answer the following Questions :
1.a) Discuss in brief the logical frameworks for handling problems posed by uncertainty.
b) Explain defuzzification methods
c) Write notes on fuzzy decision making applications
or
2 a) Write notes on fuzzy arithmetic operations.
b) Explain linguistic descriptions of fuzzy systems
c) Carry out fuzzy arithmetic operations for the linguistically defined terms
x = very close to 3
y = more or less equal to7 using both the alpha-cut and the extension principle.
or
3 a) Explain ANN and Artificial neuron
b) What is feed forward neural network
c) Differentiate supervised learning and unsupervised learning
or
4 a) Explain back propagation neural network and calculation of weights of hidden-layer Neurons.
b) Derive the back propagation learning algorithm for a network with quasi polynomial synapses and product contacts.
or
5. a) Explain procedures of genetic algorithms.
b) What are different genetic representations?
c) Explain different genetic crossovers
or
6. a) Explain about support vector machine learning
b) What are classifiers for support vector ?
c) Write notes on support vector regression.
7. a) What is self organization in social insects? Explain with examples
b) What are different modes of communication in ants?
c) What are different of pheromone trail updating?
8. a) What is an expert system shell?
b) Explain probability based expert system
c) Write notes on expert system tools