Abstract
In wireless networks it is observed that as nodes move unpredictably sudden link disconnections occur during transmission. This leads to frequent path changes and multiple path discoveries which subsequently increase transmission of control packets in network. The nodes in the network simply rebroadcast the received route request (RREQ) packet if they do not have the route to the required destination. In addition to this, frequent hello messages for neighbour set construction and maintenance also increase control message count in the network causing a flooding issue. In order to mitigate these problems, the proposed Fault Tolerant Topology Control Neuro Fuzzy method (FTTCNF), incorporates measures to improve the network stability and to reduce the control packets in the network. These measure 1.reduce control message transmissions among neighbours by finding a stable path 2. neighbour node distance is computed based on the reception of a signal strength Indication (RSSI), 3. path stability is decided by the link expiry time (LET) which can be used to predict the neighbour mobility deviations. These factors, ( above mentioned distance, path stability factor PSF, and LET) are subjected to the fuzzification process to identify the fuzzy rule values and are given as input to the neuron formation stage. Final neuron value is computed for all available paths and the maximum value path is chosen for data transmission. Energy level monitoring is also applied at each node to check the node’s current energy and should it go below the energy threshold level the node by itself, joining the routing process is avoided. Simulation results have proved that the proposed method significantly reduces the routing overhead and improves the stability of path during data transmission.
Highlights
Adhoc networks form a decentralized free movable, self-communicating node set in a network
If link disconnection occurs, a route error message will be generated by the previous node to inform source about current link disconnection status
Neighbour set management and stable path maintenance are the fundamental problems in mobile adhoc networks
Summary
Adhoc networks form a decentralized free movable, self-communicating node set in a network. Energy level of each neighbour node can be monitored to avoid link failure [17] and neuro fuzzy estimation output is used to establish path. This strong path construction eliminates frequent link disconnections which in turn minimize control packet broadcasting in network [3]. The mobility-sensitive topology control method extends many mobilityinsensitive protocols This method is based on two mechanisms: local view consistency based on (partially) synchronous and asynchronous “Hello” messages and buffer created by slightly increasing the actual transmission range. Reduction of energy consumption is an important issue in ad hoc wireless networks [17,24]
Sign-in/Register to view highlights & summary Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callMore From: Turkish Journal of Computer and Mathematics Education (TURCOMAT)
Disclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
