Research Article
ESAM - Energy Saving Slot Allocation Based Multicast Routing in Wireless Mesh Network
@ARTICLE{10.4108/eai.13-7-2018.164822, author={S. Seetha and Sharmila Anand John Francis and E. Grace Mary Kanaga and Esther Daniel}, title={ESAM - Energy Saving Slot Allocation Based Multicast Routing in Wireless Mesh Network}, journal={EAI Endorsed Transactions on Energy Web}, volume={7}, number={30}, publisher={EAI}, journal_a={EW}, year={2020}, month={5}, keywords={Wireless Mesh Network, Multicast Routing, Slot Allocation, Snoozing Awaken Period, Binary Track of Span, Channel Dispute, Healthier Channel Usage}, doi={10.4108/eai.13-7-2018.164822} }
- S. Seetha
Sharmila Anand John Francis
E. Grace Mary Kanaga
Esther Daniel
Year: 2020
ESAM - Energy Saving Slot Allocation Based Multicast Routing in Wireless Mesh Network
EW
EAI
DOI: 10.4108/eai.13-7-2018.164822
Abstract
The wireless mesh network is an emerging technology, offering innovative and efficient solutions typically used for last-mile broadband access. Multicasting is a mode of communication that delivers data from a sender to a set of receivers simultaneously in an effective way. This article deals with the problem of assigning synchronized time slots among the forwarded nodes in the multicast group of a wireless mesh network. To solve this problem, we propose a MAC layer solution that developed with snoozing and awaken slot durations for each node to pick the channel at a specific time and during the remaining period, the node will be in an idle state to listen for the packet arrival using Galois estimation. This mechanism divides the available time into slots depends on the demand of the node transmissions and channel availability. During transmission, each node comes to the awaken state and once the transmission completed the node goes to the snoozing state to preserve the energy. The slot allocation is assigned to each node based on the binary track of the span duration and transmission demands. The slot allocation based on multicast packet forwarding technique reduces the energy expense among nodes and supports to balance network communication duration. This shared slot allocation also minimizes the congestion on the network and creates healthier channel usage during communication. The Simulation results show that the proposed approach has achieved a better outcome than previous works in terms of minimum delay and high throughput.
Copyright © 2020 S. Seetha et al., licensed to EAI. This is an open access article distributed under the terms of the Creative Commons Attribution licence (http://creativecommons.org/licenses/by/3.0/), which permits unlimited use, distribution and reproduction in any medium so long as the original work is properly cited.