6,894 research outputs found

    Cooperative Coded Data Dissemination for Wireless Sensor Networks

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    In this poster paper we present a data dissemination transmission abstraction for over the air programming (OAP) protocol which is fundamentally different from the previous hop by hop transmission protocols. Instead of imposing the greedy requirement that at least one node in the ith hop receives all packets before transmitting packets to the next hop and its neighbours, we take advantage of the spatial diversity and broadcast nature of wireless transmission to adopt a cooperative approach in which node broadcast whatever packets it has received with the expectation that it will recover the lost packets with high probability by overhearing the broadcast transmissions of its neighbours. The use of coded transmissions ensures that this does not lead to the broadcast storm problem. We validate the improved performance our of proposed transmission scheme with respect to the previous state of the art OAP protocols on a proof-of-concept two-hops TelosB wireless sensor network testbed.Comment: This paper appears in: 2016 13th Annual IEEE International Conference on Sensing, Communication, and Networking (SECON), London, 2016, pp. 1-

    Towards scalable, energy-efficient, bus-based on-chip networks

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    Journal ArticleIt is expected that future on-chip networks for many-core processors will impose huge overheads in terms of energy, delay, complexity, verification effort, and area. There is a common belief that the bandwidth necessary for future applications can only be provided by employing packet-switched networks with complex routers and a scalable directory-based coherence protocol. We posit that such a scheme might likely be overkill in a well designed system in addition to being expensive in terms of power because of a large number of power-hungry routers. We show that bus-based networks with snooping protocols can significantly lower energy consumption and simplify network/ protocol design and verification, with no loss in performance. We achieve these characteristics by dividing the chip into multiple segments, each having its own broadcast bus, with these buses further connected by a central bus. This helps eliminate expensive routers, but suffers from the energy overhead of long wires. We propose the use of multiple Bloom filters to effectively track data presence in the cache and restrict bus broadcasts to a subset of segments, significantly reducing energy consumption. We further show that the use of OS page coloring helps maximize locality and improves the effectiveness of the Bloom filters. We also employ low-swing wiring to further reduce the energy overheads of the links. Performance can also be improved at relatively low costs by utilizing more of the abundant metal budgets on-chip and employing multiple address-interleaved buses rather than multiple routers. Thus, with the combination of all the above innovations, we extend the scalability of buses and believe that buses can be a viable and attractive option for future on-chip networks. We show energy reductions of up to 31X on average compared to many state-of-the-art packet switched networks

    Supporting Protocols for Structuring and Intelligent Information Dissemination in Vehicular Ad Hoc Networks

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    The goal of this dissertation is the presentation of supporting protocols for structuring and intelligent data dissemination in vehicular ad hoc networks (VANETs). The protocols are intended to first introduce a structure in VANETs, and thus promote the spatial reuse of network resources. Segmenting a flat VANET in multiple cluster structures allows for more efficient use of the available bandwidth, which can effectively increase the capacity of the network. The cluster structures can also improve the scalability of the underlying communication protocols. The structuring and maintenance of the network introduces additional overhead. The aim is to provide a mechanism for creating stable cluster structures in VANETs, and to minimize this associated overhead. Further a hybrid overlay-based geocast protocol for VANETs is presented. The protocol utilizes a backbone overlay virtual infrastructure on top of the physical network to provide geocast support, which is crucial for intervehicle communications since many applications provide group-oriented and location-oriented services. The final contribution is a structureless information dissemination scheme which creates a layered view of road conditions with a diminishing resolution as the viewing distance increases. Namely, the scheme first provides a high-detail local view of a given vehicle\u27s neighbors and its immediate neighbors, which is further extended when information dissemination is employed. Each vehicle gets aggregated information for road conditions beyond this extended local view. The scheme allows for the preservation of unique reports within aggregated frames, such that safety critical notifications are kept in high detail, all for the benefit of the driver\u27s improved decision making during emergency scenarios

    Experimental Evaluation of Large Scale WiFi Multicast Rate Control

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    WiFi multicast to very large groups has gained attention as a solution for multimedia delivery in crowded areas. Yet, most recently proposed schemes do not provide performance guarantees and none have been tested at scale. To address the issue of providing high multicast throughput with performance guarantees, we present the design and experimental evaluation of the Multicast Dynamic Rate Adaptation (MuDRA) algorithm. MuDRA balances fast adaptation to channel conditions and stability, which is essential for multimedia applications. MuDRA relies on feedback from some nodes collected via a light-weight protocol and dynamically adjusts the rate adaptation response time. Our experimental evaluation of MuDRA on the ORBIT testbed with over 150 nodes shows that MuDRA outperforms other schemes and supports high throughput multicast flows to hundreds of receivers while meeting quality requirements. MuDRA can support multiple high quality video streams, where 90% of the nodes report excellent or very good video quality
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