The goal of this thesis is to provide an adaptable protocol stackarchitecture for data fusion applications. Towards the goal, thisthesis presents the design of SensorStack, that addresses three keyissues. First, towards network-level adaptability, how todynamically adapt the placement of a fusion application task graphon the network? We have designed a distributed role assignmentalgorithm and implemented in the context of DFuse, a framework fordistributed data fusion. Second, towards node-level adaptability,how to facilitate cross-layering on a node to foster agileadaptation of a node's behavior commensurate with the network-levelchanges? SensorStack provides information exchange service (IES) asa framework for cross-module information exchange. Finally, towardstying the network and node level adaptability together, control datapublished in IES needs to be shared across the network. SensorStackuses a probabilistic broadcast based dissemination service (IDS) forcontrol data. We implement SensorStack in TinyOS and Linux tovalidate the SensorStack design, and use simulation experiments toinvestigate its network performance. Experiments demonstrate theutility of adaptability in SensorStack to increase applicationlongevity.
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Adaptable Protocol Stack for Future Sensor Networks