Abstract. With the field of wireless sensor networks rapidly maturing, the focus shifts from "easy" deployments, like remote monitoring, to more difficult domains where applications impose strict, real-time constraints on performance. One such class of applications is safety critical systems, like fire and burglar alarms, where events detected by sensor nodes have to be reported reliably and timely to a sink node. A complicating factor is that systems must operate for years without manual intervention, which puts very strong demands on the energy efficiency of protocols running on current sensor-node platforms. Since we are not aware of a solution that meets all requirements of safetycritical systems, i.e. provides reliable data delivery and low latency and low energy consumption, we present Dwarf, an energy-efficient, robust and dependable forwarding algorithm. The core idea is to use unicastbased partial flooding along with a delay-aware node selection strategy. Our analysis and extensive simulations of real-world scenarios show that Dwarf tolerates large fractions of link and node failures, yet is energy efficient enough to allow for an operational lifetime of several years.
Dwarf achieves energyefficient, robust and dependable forwarding by unicastbased partial flooding and delay-aware node selection REF .
Dwarf: Delay-aWAre Robust Forwarding for Energy-Constrained Wireless Sensor Networks
DCOSS
Computer Science