2008 · 32 citations · 14 references
Cluster ComputingLocalized AlgorithmNetwork Routing AlgorithmEngineeringWireless RoutingEnergy EfficiencyEdge ComputingNew AggregateNetwork RoutingRoutingInternet Of ThingsHeterogeneous TrafficDelay-tolerant NetworkingMulti-hop RoutingRouting Protocol
Sensor nodes report the sensed data packets to the sink and depending on the application these packets may have diverse attributes: time-critical (TC) and non time-critical (NTC). In such a heterogeneous traffic environment, designing a data dissemination framework that can achieve both the reliability and delay guarantee while preserving the energy efficiency, namely multi-constraint QoS (MCQoS), is a challenging problem. This paper proposes a new aggregate routing model and a localized algorithm (DARA) that implements the model. DARA is designed for multi-sink multipath location aware network architecture. Delay-differentiated multi-speed packet forwarding and in-node packet scheduling mechanisms are also incorporated with DARA. The simulation results demonstrate that DARA effectively improves the reliability, delay guarantee and energy efficiency.
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