International Conference Papers

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    Multi-Path Multi-Channel Data Aggregation Scheduling in Wireless Sensor Networks
    (Wireless Days, 2013-11-13) Bagaa, Miloud; Younis, Mohamed; Ksentini, Adlen; Badache, Nadjib
    In-network aggregation is employed to cut on re-dundancy and conserve the network resources. To meet the criticality and responsiveness goals, the aggregated data are to be disseminated to the base-station reliably while reducing the delivery latency. In this paper, a novel approach is proposed fo Reliable Multi-channel Scheduling for timely dissemination of Aggregated data (RMSA). RMSA strives to form an aggregation tree such that there are k disjoint paths from each node to the base-station and finds a collision free schedule for node transmissions so that the aggregated data reaches the base-station in minimal time. RMSA is a cross-layer scheme that intertwines the formation of the multi-path structure and the assignment of transmission slots to the individual node with the objective of increasing the simultaneity of transmissions and reducing the buffering delay. The availability of multiple radio channels is further exploited in order to prevent colliding transmissions and boost the overall network throughput. RMSA is validated through simulation and is shown to outperform previously published schemes.
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    Efficient data aggregation scheduling in wireless sensor networks with multi-channel links
    (ACM, 2013) Bagaa, Miloud; Younis, Mohamed; Badache, Nadjib
    In-network data aggregation is often pursued to remove redundancy and correlate the data en-route to the base-station in order to save energy in wireless sensor networks (WSNs). In this paper, we present a novel cross-layer approach for reducing the latency in disseminating aggregated data to the base-station over multi-frequency radio links. Our approach forms the aggregation tree with the objective of increasing the simultaneity of transmissions and reducing buffering delay. Aggregation nodes are picked and time-slots are allocated to the individual sensors so that the most number of ready nodes can transmit their data without delay. Colliding transmissions are avoided by the use of different radio channels. Our approach is validated through simulation and is shown to outperform previously published schemes.