A survey on performance analysis of energy aware multicast routing protocols in mobile ad hoc network

Subramaniam, Mahendrakumar; Sasikala, R.

doi:10.1504/ijnvo.2014.067880

Cited by 4 publications

(1 citation statement)

References 32 publications

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“…It enables NULLMAC to evaluate the data channel coefcients using pilot signal. If the channel is not considered to be narrowband, then NULLMAC is modifed in such a way as to estimate the data channel coefcients with the help of orthogonal frequency division multiplexing at the physical layer [11,12]. Te data and control channels are implemented as sets of subcarriers with no overlapping.…”

Section: Adaptive Antenna Array Mechanismmentioning

confidence: 99%

Design of NULLMAC Protocol for Mobile Ad Hoc Network Using Adaptive Antenna Array

Subramaniam¹,

Krishnan²,

Rambabu

et al. 2023

Mobile Information Systems

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Usually, omnidirectional radiation pattern antenna is used in the mobile ad hoc network (MANET) which causes neighbor node interference, consumes more power, and supports only limited range of transmission. To overcome these problems, smart antennas are used. A lot of medium access control (MAC) protocols are proposed using smart antennas. Existing works addressed various problems such as hidden terminal problem, hidden beam problem, deafness of nodes, and head of line blocking problem. However, certain factors including determination of weight vector and conveying it to the neighbor nodes for distortion-free transmission are not considered. In this study, nullifying MAC (NULLMAC) framework is proposed using an adaptive antenna array (AAA) for improving network performance in MANET. NULLMAC framework uses channel information for achieving high throughput and spatial reuse through integrated physical and MAC layer. Before the transfer of data packets, the receiver initially determines its weight vector and conveys it to the transmitter through control packets. Then, the transmitter computes its weight to nullify the dynamic receivers present in the neighborhood region to find the desired receiver. Beamformer weights are determined through channel coefficients between a transmitter-receiver pair to establish distortion-free transmission. Extensive simulations are performed using OPNET integrated with MATLAB. NULLMAC framework achieves 27.22% more throughput and 40.46% increase in signal-to-noise ratio.

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Section: Adaptive Antenna Array Mechanismmentioning

confidence: 99%