Browsing by Author "Shee Eng Tan"

Now showing 1 - 2 of 2
  • Thumbnail Image
    Item
    Minimizing Network Coding Nodes in Multicast Tree Construction via Genetic Algorithm
    (2012) Shee Eng Tan; Zhan Wei Siew; Yit Kwong Chin; Scott Carr Ken Lye; Kenneth Tze Kin Teo
    Network coding is a method that increases network throughput by encoding several packets with single packet size length and forwards the packet in a single transmission time slot. At the same time, network coding increases the complexity of packets management and delay of network due to the waiting time for network coding opportunity. A solution based on improved genetic algorithm is proposed to optimize the network coding node resources in network coding. Genetic algorithm will search a multicast tree that fulfils the desired throughput with a desired multicast rate. Mutation rate of the genetic algorithm will change based on the previous solution to avoid from being stuck on the local optima. The simulation result shows that with given multicast rate, improved genetic algorithm is able to search and construct multicast tree with minimal usage of network coding nodes.
  • Thumbnail Image
    Item
    Performance Analysis of Intelligent Transport Systems (ITS) with Adaptive Transmission Scheme
    (2012) Scott Carr Ken Lye; Shee Eng Tan; Yit Kwong Chin; Bih Lii Chua; Kenneth Tze Kin Teo
    Various means of modern transports have already taken the initiative to incorporate computing and communication technology. This cross field area is coined as intelligent transportation systems (ITS). Transport systems of the future require fast and precise monitoring to ensure safety of such systems is guaranteed. Thus, the communication aspect demands seamless and minimal error whilst delivering vital data. However, the dynamic surroundings always post a challenge to wireless communications, taking account into a myriad of interference such as multipath fading, shadowing, dispersing and path loss. Furthermore, there is also case of mobility. In this paper, the performance of wireless communications with adaptive modulation and coding in vehicular scenarios were compared against rigid transmission techniques. Simulations were conducted over different mobility channel models against Signal-to-Noise ratio (SNR) to provide thorough analysis. Performance measure of Bit Error Rate (BER) and Packet Error Rate (PER) were used to provide understanding of the overall picture.