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Energy-Efficient Decentralized Broadcasting in Wireless Multi-Hop Networks.

Artur Sterz1, Robin Klose2, Markus Sommer1

  • 1Department of Mathematics & Computer Science, Philipps-Universität Marburg, 35043 Marburg, Germany.

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Summary
This summary is machine-generated.

This study introduces BTP, a novel protocol for wireless networks like the Internet of Things. BTP uses game theory to minimize energy consumption for data dissemination, achieving up to 90% energy reduction.

Keywords:
broadcast treedata disseminationwireless networks

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Area of Science:

  • Wireless Networking
  • Distributed Systems
  • Game Theory

Background:

  • Wireless sensor networks and the Internet of Things require efficient data distribution to multiple receivers beyond single-node transmission range.
  • Energy efficiency is a critical concern for resource-constrained wireless devices.

Purpose of the Study:

  • To present a novel multi-hop data dissemination protocol, BTP, designed to minimize total network energy consumption.
  • To leverage a game-theoretical model for decentralized spanning tree construction.

Main Methods:

  • Developed a decentralized protocol (BTP) using a game-theoretical model to minimize transmission power.
  • Constructed a spanning tree without requiring information exchange between distant nodes or time synchronization.
  • Inhibited graph cycles effectively through the protocol's design.

Main Results:

  • Simulations in Matlab and NS-3 demonstrated the protocol's effectiveness.
  • Real-world experiments on a 75-node Raspberry Pi testbed validated the protocol's performance.
  • Achieved up to 90% total energy reduction compared to a simple broadcast protocol in practical scenarios.

Conclusions:

  • BTP offers a highly energy-efficient solution for multi-hop data dissemination in wireless networks.
  • The decentralized, game-theoretical approach effectively minimizes energy consumption without complex synchronization or communication overhead.
  • The protocol shows significant promise for applications like wireless sensor networks and the Internet of Things.