Publication | Open Access
Efficient Broadcasting Using Network Coding
200
Citations
33
References
2008
Year
Distributed Source CodingEngineeringWireless RoutingEnergy EfficiencyEdge ComputingJoint Source-channel CodingAd Hoc NetworkLinear Network CodingWireless NetworksNetwork CodingInternet Of ThingsMulti-hop Routing
Broadcasting in ad hoc wireless networks requires all nodes to act as sources, and energy efficiency is a critical metric that directly influences battery life and network longevity. The study demonstrates that network coding markedly improves energy efficiency in such broadcasting scenarios and proposes simple, low‑complexity distributed algorithms for practical deployment. The authors develop these algorithms from theoretical insights and evaluate them through packet‑level simulation. Their analysis shows a constant‑factor energy‑efficiency improvement in fixed networks, with exact factors computed for canonical topologies, and a linear‑in‑n gain in dynamic, mobile networks under simple distributed operations.
We consider the problem of broadcasting in an ad hoc wireless network, where all nodes of the network are sources that want to transmit information to all other nodes. Our figure of merit is energy efficiency, a critical design parameter for wireless networks since it directly affects battery life and thus network lifetime. We prove that applying ideas from network coding allows to realize significant benefits in terms of energy efficiency for the problem of broadcasting, and propose very simple algorithms that allow to realize these benefits in practice. In particular, our theoretical analysis shows that network coding improves performance by a constant factor in fixed networks. We calculate this factor exactly for some canonical configurations. We then show that in networks where the topology dynamically changes, for example due to mobility, and where operations are restricted to simple distributed algorithms, network coding can offer improvements of a factor of , where is the number of nodes in the network. We use the insights gained from the theoretical analysis to propose low-complexity distributed algorithms for realistic wireless ad hoc scenarios, discuss a number of practical considerations, and evaluate our algorithms through packet level simulation.
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