Wireless networks have made significant advancement in recent times by adding a new dimension to the way people communicate. Development of wireless standards have constantly aimed at providing higher data rates even under complex environments using smart antennas, multiple-input, and multiple-output systems. This has necessitated an understanding of the indoor propagation channel. Channel models describe a communication channel and are essential in developing efficient wireless communication networks. This paper surveys different channel models used to characterise wireless indoor environment. This survey may be useful for the army, where the communication over wide areas during wargames that they hold periodically, is necessary. Moreover, it may also be useful for communication near the border areas for surveillance operations.
Designing a reliable Vehicular Adhoc Network is challenging, due to the critical constraints in providing reliability with ensured data delivery and minimal latency simultaneously. Here, a fuzzy-based congestion control technique, to minimize latency and packet loss for high priority safety messages is proposed. Fuzzy logic is employed to provide multi-level priority assignment to the vehicles contending for channel access. Based on this priority, the queued messages in the Cluster Head are scheduled. NS-2 simulations prove that this technique improves the packet delivery and minimizes packet loss and channel access delay compared to cognitive radio based implementations at largely densed vehicular network.
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