On the design of resilient heterogeneous wireless sensor networks based on small world concepts.
Computer Networks 01/2010; 54:1266-1281.
Conference Proceeding: A Framework based on Small World Features to Design HSNs Topologies with QoS *[show abstract] [hide abstract]
ABSTRACT: In this work we propose a framework based on the small world features to design Heterogeneous Sensor Network (HSN) topologies with QoS. The framework creates three dif-ferent topologies and each topology has its goals related to the latency and energy consumption during data communication. We also propose a routing algorithm that uses the created topologies in order to provide QoS in HSN. Simulation results showed that the three topologies can provide different levels of QoS that can be used in many sensor network applications. We also compare our framework to the literature topology to provide QoS in HSN and our framework presents better tradeoff between energy consumption and latency during data communication.IEEE Symposium on Computers and Communications; 06/2012
Article: Self-Organization of Wireless Ad Hoc Networks as Small Worlds Using Long Range Directional Beams[show abstract] [hide abstract]
ABSTRACT: We study how long range directional beams can be used for self-organization of a wireless network to exhibit small world properties. Using simulation results for randomized beamforming as a guideline, we identify crucial design issues for algorithm design. Subsequently, we propose an algorithm for deterministic creation of small worlds. We define a new centrality measure that estimates the structural importance of nodes based on traffic flow in the network, which is used to identify the optimum nodes for beamforming. This results in significant reduction in path length while maintaining connectivity.09/2011;
Article: Self-organization of Nodes using Bio-Inspired Techniques for Achieving Small World Properties[show abstract] [hide abstract]
ABSTRACT: In an autonomous wireless sensor network, self-organization of the nodes is essential to achieve network wide characteristics. We believe that connectivity in wireless autonomous networks can be increased and overall average path length can be reduced by using beamforming and bio-inspired algorithms. Recent works on the use of beamforming in wireless networks mostly assume the knowledge of the network in aggregation to either heterogeneous or hybrid deployment. We propose that without the global knowledge or the introduction of any special feature, the average path length can be reduced with the help of inspirations from the nature and simple interactions between neighboring nodes. Our algorithm also reduces the number of disconnected components within the network. Our results show that reduction in the average path length and the number of disconnected components can be achieved using very simple local rules and without the full network knowledge.09/2011;
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