Traffic management in WSN based on intelligent monitoring algorithms
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Due to congestion the overall performance of the network degrades. Hence it is obvious that there is a need for the development of an approach which is able to avoid and control congestion so that more packets forwarded to the sink, safely and reliably. To achieve this objective, two approaches were proposed to minimize the congestion effects and prevent them from spreading through the sink node. The proposed approaches are NNMWCC which is implemented at the sink node of the network (centralized controller) and FLCC that is implemented at each node near the sink (distributed controller). The p...
Due to congestion the overall performance of the network degrades. Hence it is obvious that there is a need for the development of an approach which is able to avoid and control congestion so that more packets forwarded to the sink, safely and reliably. To achieve this objective, two approaches were proposed to minimize the congestion effects and prevent them from spreading through the sink node. The proposed approaches are NNMWCC which is implemented at the sink node of the network (centralized controller) and FLCC that is implemented at each node near the sink (distributed controller). The proposed NNMWCC approach has three main activities: the first one detects the congestion as congestion level indications; the second one estimates the network traffic rate in next time and the last proposed approach distributes the estimated rate fairly among the active nodes as a result upstream traffic rate adjusted and sent its data packet at new adjustable rate to avoid the congestion in the next time. The proposed FLCC approach at each node near the sink detects congestion depending on the state of its buffer and fairly adjusts the sending rate of active nodes that sent its data through it
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