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    National Conference on Commun icat ion, Measurement and Control , Vol- I, 14th A ugust, 2012

    104

    IV. Coding Decoding Protocol

    Another important parameter is coding decoding

    protocol. By coding decoding procedure network

    ensure optimal uses of bandwidth & network

    operation speed. The network performance analyse

    with following two Codec separately:

    a) G.711b) G.729

    a) G.711:

    G.711 is an ITU-T standard for audio compression. It

    is primarily used in telephony. The standard was

    released for usage in 1972. Its formal name is Pulse

    code modulation (PCM) of voice frequencies. It is

    required standard in many technologies, for example

    in H.320 and H.323 specifications.

    b) G.729:

    G.729 is an audio data compression algorithm for

    voice that compresses digital voice in packets of 10

    milliseconds duration. Because of its low bandwidth

    requirements, G.729 is mostly used in Voice over

    Internet Protocol (VoIP) applications where

    bandwidth must be conserved, such as conference

    calls. Standard G.729 operates at a bit rate of 8 kbit/s,

    but there are extensions, which provide rates of 6.4

    kbit/s and 11.8 kbit/s for worse and better speech

    quality, respectively[3,4].

    IV. Performance Verification of Network With

    Respect to MOS

    Performance of network can be determined under one

    codec type for all routing protocols for set of nodes.

    There are various conditions for caller system and

    called system like,

    A) Caller is static but Receiver is in mobile state.

    B) Caller is movable while Receiver is in staticcondition.

    C) Caller & Receiver both in mobile state

    Networks Jitter Delay will vary due to above

    conditions. These will affect the average MOS.

    Analysis for G.711 Codec:

    A) Caller is static but Receiver is in mobile state.

    i) Average MOS for Receiver:

    Fig 1: Average MOS at Movable Receiver

    ii) Average MOS for Transmitter:

    Fig 2: Average MOS for static Transmitter

    B) Caller is movable while Receiver is in static

    condition.

    i) Average MOS of Receiver:

    Fig 3: Average MOS for static Receiver

    ii) Average MOS of Transmitter:

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    Fig 4: Average MOS at Movable Transmitter

    C) Caller & Receiver both in mobile state

    i) Average MOS of Receiver:

    Fig 5: Average MOS for Mobile network Receiver

    ii) Average MOS of Transmitter:

    Fig 6: Average MOS for Mobile network Transmitter

    Analysis for G.729 Codec:

    A) Caller is static but Receiver is in mobile state.

    i) Average MOS for Receiver

    Fig 7: Average MOS at Movable Receiver

    ii) Average MOS for Transmitter

    Fig 8: Average MOS for static Transmitter

    B) Caller is movable while Receiver is in static

    condition.

    i) Average MOS for Receiver

    Fig 9: Average MOS for static Receiver

    ii) Average MOS for Transmitter

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    106

    Fig 10: Average MOS for Dynamic Transmitter

    C) Caller & Receiver both in mobile state

    i) Average MOS for Receiver

    Fig 11: Average MOS for Mobile Receiver

    ii) Average MOS for Transmitter

    Fig 12: Average MOS for static ReceivTransmitter

    V. Discussion on Results

    Comparing all graphs for different Codec different

    routing protocol shows better performance. For

    mobile receiver at receiving end Bellman Ford shows

    best result in G.729 Codec. Jitter value & delay is

    optimum. MOS value is present in Y axis and

    average set of node in X axis.

    Fig 13: Comparing Best Average MOS of Codecs

    For Mobile Call initiator RIP routing algorithm

    shows better performance MOS value is present in

    Y axis and average set of node in X axis.

    Fig 14: Comparing Best Average MOS of Codecs

    For both Mobile Caller and Receiver a combination

    of OSPF v 2 at receiver end and Bellman Ford at

    transmitter end in G.729 codec shows better

    performance. Also Jitter values are minimums and

    delay is moderated. MOS value is present in Y axis

    and average set of node in X axis.

    In this dynamic scenario while call initiator and

    receiver are mobile then average MOS will not

    fluctuate as well as it is above 2 (Fig 15). But

    corresponding jitter variation is very low (Fig 16).

    Fig 15: Comparing Best Average MOS of Codecs

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    107

    Fig 16: Average Jitter for Receiver

    Keeping average MOS value at a threshold 2

    optimizing delay and jitter value system can keep

    highest MOS 4. As packet loss and corruption of

    packet is minimum & delay is average so network

    give it optimum performance.

    Conclusion

    Comparing all performances of G.711 & G.729 with

    respect to different routing protocols in different

    static & dynamic scenario performance of G.729 is

    better than G.711. Among all type of routing

    protocols Bellman Ford shows best result at receiver

    end while at transmitter end RIP & OSPF v 2 perform

    better. Also we can conclude for complete mobile

    scenario with moderate network designing cost

    system can able to maintain Maximum MOS 4.

    REFERENCES

    [1] Experimental Study of Voice over IP Servicesover Broadband Wireless Networks AdvancedInformation Networking and Applications, 2008.AINA 2008. Author(s): Peh, E.W.C. Nat. Univ.of Singapore, Singapore Seah, W.K.G. ; Chew,Y.H. ; Ge, Y.

    [2] Improving R-score of Adaptive VoIP codec inIEEE 802.16 networks Communications. APCC2008. 14th Asia-Pacific Conference onDate of Conference: 14-16 Oct. 2008 Author(s):Tsung-Yin Lee Dept. of Commun. Eng., Nat.Chung Cheng Univ. Chia-Yi, Chiayi

    [3] Integration of IEEE 802.11 WLANs with IEEE802.16-based multihop infrastructure mesh/relaynetworks: A game-theoretic approach to radioresource management Niyato, D.; Hossain, E.

    Network, IEEE Volume: 21 , Issue: 3 DigitalObject Identifier: 10.1109/MNET.2007.364253Publication Year: 2007 , Page(s): 6 - 14

    [4] A concept for ant-routing with coloredpheromones in wireless mesh networks Umlauft,M. Intelligent Systems, 2008. IS '08. 4thInternational IEEE Conference

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