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Routing algorithms for cognitive radio networks should consider various objectives and constraints. Constraint-based routing (CBR) algorithms select a route satisfying constraints that are either administrative-oriented (policy routing), or service-oriented (QoS routing). In cognitive radio networks, a primary user's interference constraint is the most important objective for the activities of secondary...
In contrast to range-based localization techniques, range-free localization schemes for wireless sensor networks (WSNs) can provide reasonably accurate positioning without the cost of additional hardware. However, existing solutions to range-free localization assume homogeneous and dense network scenarios, i.e., networks where all nodes have identical transmission ranges and network partitions do...
Route discovery and node localization are two strongly correlated concepts in wireless sensor networks (WSNs) and many different techniques have been proposed for both challenges. However, many of these solutions assume homogeneous network conditions, e.g., Identical sensor hardware, fixed transmission powers, or uniform node deployment. In heterogeneous networks, where these parameters are allowed...
In this paper, the application of artificial neural networks to improve the efficiency of soft decision in Viterbi decoder is proposed. By adding neural network to the decision block of Viterbi decoders and training in supervisor manner, neural networks will be able to anticipate and handle a wide range of distortion. Using the neural networks soft decision in Viterbi decoder block would reduce the...
Due to low complexity, power and bandwidth saving Distance Vector Routing is the most popular dynamic routing protocol which is using in many networks such as ad hoc networks. However, this protocol has a serious drawback in practice called Count To Infinity problem or slow convergence. There are many proposed solutions in literature to solve the problem, but all of these methods depend on the network...
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