Abdulaziz Barnawi

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Random deployment of sensor nodes most times generates an initial communication gap in the sensing field even in a highly dense network. These communication gaps still exist even when these sensor nodes are deployed in a structured manner. In either case, the resulting inter-node distances may cause lack of communication and subsequently degrades the(More)
TDMA scheduling for data gathering in wireless sensor networks can potentially save energy by eliminating collisions and avoiding idle listening due to its built in duty cycle. Furthermore, temporal and spatial correlation in the sensed data gives room for better delay and energy efficiency. Several TDMA scheduling schemes have been suggested in the(More)
This paper presents PROGRESSIVE, a topology discovery and multihop scheduling protocol that progressively collect network connectivity information and schedules nodes which have an identified routing path(s) to the sink. PROGRESSIVE saves energy by limiting the time during which CSMA is used for control message transmissions. In addition, it achieves full(More)