Soft Computing-Based Void Recovery Protocol for Mobile Wireless Sensor Networks
Routing of the data is a major process in the real-time wireless sensor network. Many routing protocols were proposed to work in the static wireless sensor network. In this, a routing protocol is developed. The network consists of the mobile nodes deployed with same energy, sensing range and mobility speed. The routing of the data packet is done with the help of the geographic routing and the soft computing technique. The neuro-fuzzy system is used to select the next best forwarding node inside the communication area of a particular node using the residual energy, number of hops, distance towards sink, direction and number of neighbours. Since all nodes are mobile, each node has to update its own location and the location of the neighbouring nodes. When a data packet is produced from a node, it finds the next forwarding node by using the neuro-fuzzy methodology. This methodology gets the input parameter from the nodes within the range and computes the objective function value. If the rate computed is greater than the threshold rate, then the node is considered as the forwarding node. Other nodes cannot be considered for the forwarding of the packet. If there occurs void node problem in the network, then the created data packet can be delayed for a second, or the nodes in the network can be relocated to its previous location. So this reduces the void node problem in the network.
KeywordsMobile wireless sensor networks Forwarding nodes Four quadrants Sink Lifetime
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