M. ElToweissy

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We foresee the need for dynamically clustering nodes in Wireless Sensor Networks (WSNs) according to a multitude of disparate co-existing contexts. To this end, we propose a distributed, low-overhead context-aware clustering protocol for WSNs. We employ Affinity Propagation (AP) for clustering nodes based on multiple criteria including location, residual(More)
We are witnessing the emergence of the ubiquitous resource-infinite computing paradigm. Significant benefits accrue, ranging from added convenience and services for users, to enhanced efficiency and reduced cost for organizations, to improved on-demand resource availability for under-connected areas, extreme environments and distress situations. To this(More)
The intrinsically location-aware applications of sensor networks and the need for location-based optimized routing make efficient and accurate location determination of sensor nodes essential. It is practically and economically infeasible to equip all sensor nodes with GPS receivers. A few GPS equipped anchors are therefore used to determine the location of(More)
Next generations distributed cyberspace technologies, such as cloud computing, social networking and mobile applications, are expected to evolve a global cyberspace marketplace for resources and services. In such a large-scale marketplace, users are largely autonomous with vastly diverse requirements, capabilities and trust profiles. Therefore trading(More)
We present reliable adaptive service-driven efficient routing (muRACER), a routing protocol suite based on a novel service-oriented design for sensor-actuator networks where nodes expose their capabilities to applications as a service profile. A node's service profile consists of a set of services (i.e., sensing and actuation capabilities) that it provides(More)
The ability to mine large volumes of distributed datasets enables more precise decision making. However, privacy concerns should be carefully addressed when mining datasets distributed over autonomous sites. We propose a new privacy-preserving protocol for association rule mining (P3ARM) over horizontally partitioned data. P3ARM is based on a distributed(More)
A networked sensor system (NSS) is typically comprised of tiny sensors with limited energy and storage capabilities deployed in an environment for monitoring and tracking purposes. Critical to the success of NSS is the reliable collection and dissemination of data while conserving sensors' limited resources, in particular energy. In this paper, we propose a(More)