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Papers by saber abdali
Computer Networks, 2006 International …, 2006
In this paper, the delay sensitive transport (DST) protocol is presented for wireless sensor netw... more In this paper, the delay sensitive transport (DST) protocol is presented for wireless sensor networks (WSN). The objective of the DST protocol is to timely and reliably transport event features from the sensor field to the sink with minimum energy consumption. In this regard, the DST protocol simultaneously addresses congestion control and timely event transport reliability objectives in WSN. In addition to its efficient congestion detection and control algorithms, it incorporates the Time Critical Event First (TCEF) scheduling mechanism to meet the applicationspecific delay bounds at the sink node. Importantly, the algorithms of the DST protocol mainly run on resource rich sink node, with minimal functionality required at resource constrained sensor nodes. Performance evaluation via simulation experiments show that the DST protocol achieves high performance in terms of real-time communication requirements, reliable event detection, and energy consumption in WSN.
Pervasive …, 2011
Wireless sensor networks (WSNs) are frameworks for modern pervasive computing infrastructures, an... more Wireless sensor networks (WSNs) are frameworks for modern pervasive computing infrastructures, and are often subject to operational difficulties, such as the inability to effectively mitigate signal noise or sensor failure. Natural systems, such as gene regulatory networks (GRNs), participate in similar information transport and are often subject to similar operational disruptions (noise, damage, etc.). Moreover, they self-adapt to maintain system function under adverse conditions. Using a PBN-type model valid in the operational and functional overlap between GRNs and WSNs, we study how attractors in the GRN-the target state of an evolving networkbehave under selective gene or sensor failure. For "larger" networks, attractors are "robust", in the sense that gene failures (or selective sensor failures in the WSN) conditionally increase their total number; the "distance" between initial states and their attractors (interpreted as the end-to-end packet delay) simultaneously decreases. Moreover, the number of attractors is conserved if the receiving sensor returns packets to the transmitting node; however, the distance to the attractors increases under similar conditions and sensor failures. Interpreting network state-transitions as packet transmission scenarios may allow for trade-offs between network topology and attractor robustness to be exploited to design novel fault-tolerant routing protocols, or other damage-mitigation strategies.
Computer Networks, 2006 International …, 2006
In this paper, the delay sensitive transport (DST) protocol is presented for wireless sensor netw... more In this paper, the delay sensitive transport (DST) protocol is presented for wireless sensor networks (WSN). The objective of the DST protocol is to timely and reliably transport event features from the sensor field to the sink with minimum energy consumption. In this regard, the DST protocol simultaneously addresses congestion control and timely event transport reliability objectives in WSN. In addition to its efficient congestion detection and control algorithms, it incorporates the Time Critical Event First (TCEF) scheduling mechanism to meet the applicationspecific delay bounds at the sink node. Importantly, the algorithms of the DST protocol mainly run on resource rich sink node, with minimal functionality required at resource constrained sensor nodes. Performance evaluation via simulation experiments show that the DST protocol achieves high performance in terms of real-time communication requirements, reliable event detection, and energy consumption in WSN.
Pervasive …, 2011
Wireless sensor networks (WSNs) are frameworks for modern pervasive computing infrastructures, an... more Wireless sensor networks (WSNs) are frameworks for modern pervasive computing infrastructures, and are often subject to operational difficulties, such as the inability to effectively mitigate signal noise or sensor failure. Natural systems, such as gene regulatory networks (GRNs), participate in similar information transport and are often subject to similar operational disruptions (noise, damage, etc.). Moreover, they self-adapt to maintain system function under adverse conditions. Using a PBN-type model valid in the operational and functional overlap between GRNs and WSNs, we study how attractors in the GRN-the target state of an evolving networkbehave under selective gene or sensor failure. For "larger" networks, attractors are "robust", in the sense that gene failures (or selective sensor failures in the WSN) conditionally increase their total number; the "distance" between initial states and their attractors (interpreted as the end-to-end packet delay) simultaneously decreases. Moreover, the number of attractors is conserved if the receiving sensor returns packets to the transmitting node; however, the distance to the attractors increases under similar conditions and sensor failures. Interpreting network state-transitions as packet transmission scenarios may allow for trade-offs between network topology and attractor robustness to be exploited to design novel fault-tolerant routing protocols, or other damage-mitigation strategies.