An Enhanced Forecast Weighted Clustering Algorithm for Reducing Overheads in Mobile Ad-hoc Networks

Authors: Akanksha Soni, Nisha Bhati

Published in: IJRRETAS, Volume 4, Issue 4, pp. 1-10 (01 Apr 2018)

Impact Factor: 3.8 (2018)

License: CC BY 4.0 CC BY 4.0 (Open Access)

Certificate: View Certificate

Abstract

In this paper, we propose an enhanced forecast weighted clustering algorithm (EFWCA) which can reduce the computational overhead by electing the right candidate for the cluster head. This novel approach can handle enormous traffic and makes the network more stable. Wireless mobile adhoc networks (MANET) are prone to having routing issues due to their variable nature and resource constraints. Routing is an essential approach in adhoc networks for data transmission because every node serves as a router in the absence of a central router. Several routing schemes have been advised in order to discover route, many of which use the flooding method. The flooding method offers to discover routes through flooding of routing packets in the network. In this method routing packets are traversing throughout the network infinitely and unnecessarily consume resources such as battery power and bandwidth and cause throughput degradation. To solve the noted problem, clustering and efficient flooding methods are some of the alternatives. To form clusters and elect a cluster-head for a homogenous network, several techniques have been suggested by the researchers. Here, the suggested algorithm is simulated in network simulation and its performance is evaluated in the context of various parameters.

Keywords
  • Mobile Ad-hoc Network (MANET)
  • Clustering
  • EFWCA
  • Routing
References
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How to Cite
APA: Soni, A., & Bhati, N. (2018). An Enhanced Forecast Weighted Clustering Algorithm for Reducing Overheads in Mobile Ad-hoc Networks. International Journal for Rapid Research in Engineering Technology & Applied Science, 4(4), 1–10. https://ijrretas.com/research-paper/an-enhanced-forecast-weighted-clustering-algorithm-for-reducing-overheads-in-mobile-adhoc-networks-