MPDHD-A Handover Decision Scheme for Seamless Connectivity in Wireless Network
Shifali Sharma1, Parveen Kumar2, Anita Suman3
1Shifali Sharma*, Electronics and Communication, Beant College of Engineering and Technology, Gurdaspur, Punjab, India.
2Parveen Kumar, Associate Professor, Electronics and Communication Beant College of Engineering and Technology, Gurdaspur, Punjab, India.
3Anita Suman, Associate Professor, Electronics and Communication Beant College of Engineering and Technology, Gurdaspur, Punjab, India
Manuscript received on June 21, 2020. | Revised Manuscript received on June 30, 2020. | Manuscript published on July 10, 2020. | PP: 524-528 | Volume-9 Issue-9, July 2020 | Retrieval Number: 100.1/ijitee.I7171079920 | DOI: 10.35940/ijitee.I7171.079920
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: Handover is one of the major concerns arising in wireless network due to increasing demand of services by the customers. Different studies have been performed to attain a seamless handover. Researchers are implementing novel technologies so that efficient decision can be made to maintain effective communication. Multilayer feed forward artificial neural network has been implemented in a recent study in which Received Signal strength indicator (RSSI), monetary cost, Data rate and Velocity of mobile users in the network are taken into account for handover decision in wireless network. Due to several limitations of this technique, a novel method- Multiple parameters dependent Handover decision (MPDHD) is presented in which Sugeno fuzzy model is amalgamated with neural network to form an intelligent system. In the system, neural network is trained by the fuzzy model which reduced the complexity of the existing work. Also along with the parameters used in existing work, a new user metric-Load is introduced to check the availability of the base station with minimum load of users connected to it. The simulation of the proposed work is carried out in the MATLAB environment. From, the experimental results, it is concluded that MPDHD is better than existing approaches and reduced the handover probability in the network.
Keywords: Fuzzy Model, Handover, HO Decision, Neural Network.
Scope of the Article: Neural Network