The Experts below are selected from a list of 282 Experts worldwide ranked by ideXlab platform

Yezid Donoso - One of the best experts on this subject based on the ideXlab platform.

  • delay disruption tolerant network based message forwarding for a river pollution monitoring wireless Sensor network application
    Sensors, 2016
    Co-Authors: Carlos Velasquezvillada, Yezid Donoso
    Abstract:

    Communications from remote areas that may be of interest is still a problem. Many innovative projects applied to remote sites face communications difficulties. The GOLDFISH project was an EU-funded project for river pollution monitoring in developing countries. It had several Sensor clusters, with floating WiFi antennas, deployed along a downstream river’s course. Sensor clusters sent messages to a Gateway installed on the riverbank. This gateway sent the messages, through a backhaul technology, to an Internet server where Data was aggregated over a map. The communication challenge in this scenario was produced by the antennas’ movement and network backhaul availability. Since the antennas were floating on the river, communications could be disrupted at any time. Also, 2G/3G availability near the river was not constant. For non-real-time applications, we propose a Delay/Disruption Tolerant Network (DTN)-based solution where all nodes have persistent storage capabilities and DTN protocols to be able to wait minutes or hours to transmit. A mechanical backhaul will periodically visit the river bank where the gateway is installed and it will automatically Collect Sensor Data to be carried to an Internet-covered spot. The proposed forwarding protocol delivers around 98% of the messages for this scenario, performing better than other well-known DTN routing protocols.

  • Delay/Disruption Tolerant Network-Based Message Forwarding for a River Pollution Monitoring Wireless Sensor Network Application.
    Sensors, 2016
    Co-Authors: Carlos Velásquez-villada, Yezid Donoso
    Abstract:

    Communications from remote areas that may be of interest is still a problem. Many innovative projects applied to remote sites face communications difficulties. The GOLDFISH project was an EU-funded project for river pollution monitoring in developing countries. It had several Sensor clusters, with floating WiFi antennas, deployed along a downstream river’s course. Sensor clusters sent messages to a Gateway installed on the riverbank. This gateway sent the messages, through a backhaul technology, to an Internet server where Data was aggregated over a map. The communication challenge in this scenario was produced by the antennas’ movement and network backhaul availability. Since the antennas were floating on the river, communications could be disrupted at any time. Also, 2G/3G availability near the river was not constant. For non-real-time applications, we propose a Delay/Disruption Tolerant Network (DTN)-based solution where all nodes have persistent storage capabilities and DTN protocols to be able to wait minutes or hours to transmit. A mechanical backhaul will periodically visit the river bank where the gateway is installed and it will automatically Collect Sensor Data to be carried to an Internet-covered spot. The proposed forwarding protocol delivers around 98% of the messages for this scenario, performing better than other well-known DTN routing protocols.

Ramesh Govindan - One of the best experts on this subject based on the ideXlab platform.

  • demo medusa a programming framework for crowd sensing applications
    International Conference on Mobile Systems Applications and Services, 2012
    Co-Authors: Bin Liu, Thomas F. La Porta, Ramesh Govindan
    Abstract:

    The ubiquity of smartphones and their on-board sensing capabilities motivates crowd-sensing, a capability that harnesses the power of crowds to Collect Sensor Data from a large number of mobile phone users. Unlike previous work on wireless sensing, crowd-sensing poses several novel requirements: support for humans-in-the-loop to trigger sensing actions or review results, the need for incentives, as well as privacy and security. Beyond existing crowd-sourcing systems, crowd-sensing exploits sensing and processing capabilities of mobile devices. In this paper, we design and implement Medusa, a novel programming framework for crowd-sensing that satisfies these requirements. Medusa provides high-level abstractions for specifying the steps required to complete a crowd-sensing task, and employs a distributed runtime system that coordinates the execution of these tasks between smartphones and a cluster on the cloud. We have implemented ten crowd-sensing tasks on a prototype of Medusa. We find that Medusa task descriptions are two orders of magnitude smaller than standalone systems required to implement those crowd-sensing tasks, and the runtime has low overhead and is robust to dynamics and resource attacks.

  • MobiSys - Demo: Medusa: a programming framework for crowd-sensing applications
    Proceedings of the 10th international conference on Mobile systems applications and services - MobiSys '12, 2012
    Co-Authors: Bin Liu, Thomas F. La Porta, Ramesh Govindan
    Abstract:

    The ubiquity of smartphones and their on-board sensing capabilities motivates crowd-sensing, a capability that harnesses the power of crowds to Collect Sensor Data from a large number of mobile phone users. Unlike previous work on wireless sensing, crowd-sensing poses several novel requirements: support for humans-in-the-loop to trigger sensing actions or review results, the need for incentives, as well as privacy and security. Beyond existing crowd-sourcing systems, crowd-sensing exploits sensing and processing capabilities of mobile devices. In this paper, we design and implement Medusa, a novel programming framework for crowd-sensing that satisfies these requirements. Medusa provides high-level abstractions for specifying the steps required to complete a crowd-sensing task, and employs a distributed runtime system that coordinates the execution of these tasks between smartphones and a cluster on the cloud. We have implemented ten crowd-sensing tasks on a prototype of Medusa. We find that Medusa task descriptions are two orders of magnitude smaller than standalone systems required to implement those crowd-sensing tasks, and the runtime has low overhead and is robust to dynamics and resource attacks.

  • Pursuit-evasion Game
    Center for Embedded Network Sensing, 2007
    Co-Authors: Marcos A. M. Vieira, Niklas Goddemeier, Lamia Chouaieb, Gaurav S. Sukhatme, Ramesh Govindan
    Abstract:

    Author(s): Vieira, Marcos; Goddemeier, Niklas; Chouaieb, Lamia; Sukhatme, Gaurav; Govindan, Ramesh | Abstract: In Pursuit-Evasion Games (PEGs) multiple robots (the pursuers) Collectively determine the location of one or more evaders, and try to corral them. The game terminates when every evader has been corralled by one or more robots. PEGs have motivated interesting research directions in multi-robot coordination. Pursuers may not have line-of-sight visibility to evaders, and a Sensor network can help detect and track evaders.PEG is an application case study of Tenet, a software architecture for Wireless Sensor Network. Tenet architecture provides a wireless subtract for pursuer to communicate and Collect Sensor Data. Tenet simplifies the development of the wireless Sensor applications, since it is not necessary to worry about reliability, mobility, routing tree and other issues.

Carlos Velasquezvillada - One of the best experts on this subject based on the ideXlab platform.

  • delay disruption tolerant network based message forwarding for a river pollution monitoring wireless Sensor network application
    Sensors, 2016
    Co-Authors: Carlos Velasquezvillada, Yezid Donoso
    Abstract:

    Communications from remote areas that may be of interest is still a problem. Many innovative projects applied to remote sites face communications difficulties. The GOLDFISH project was an EU-funded project for river pollution monitoring in developing countries. It had several Sensor clusters, with floating WiFi antennas, deployed along a downstream river’s course. Sensor clusters sent messages to a Gateway installed on the riverbank. This gateway sent the messages, through a backhaul technology, to an Internet server where Data was aggregated over a map. The communication challenge in this scenario was produced by the antennas’ movement and network backhaul availability. Since the antennas were floating on the river, communications could be disrupted at any time. Also, 2G/3G availability near the river was not constant. For non-real-time applications, we propose a Delay/Disruption Tolerant Network (DTN)-based solution where all nodes have persistent storage capabilities and DTN protocols to be able to wait minutes or hours to transmit. A mechanical backhaul will periodically visit the river bank where the gateway is installed and it will automatically Collect Sensor Data to be carried to an Internet-covered spot. The proposed forwarding protocol delivers around 98% of the messages for this scenario, performing better than other well-known DTN routing protocols.

Carlos Velásquez-villada - One of the best experts on this subject based on the ideXlab platform.

  • Delay/Disruption Tolerant Network-Based Message Forwarding for a River Pollution Monitoring Wireless Sensor Network Application.
    Sensors, 2016
    Co-Authors: Carlos Velásquez-villada, Yezid Donoso
    Abstract:

    Communications from remote areas that may be of interest is still a problem. Many innovative projects applied to remote sites face communications difficulties. The GOLDFISH project was an EU-funded project for river pollution monitoring in developing countries. It had several Sensor clusters, with floating WiFi antennas, deployed along a downstream river’s course. Sensor clusters sent messages to a Gateway installed on the riverbank. This gateway sent the messages, through a backhaul technology, to an Internet server where Data was aggregated over a map. The communication challenge in this scenario was produced by the antennas’ movement and network backhaul availability. Since the antennas were floating on the river, communications could be disrupted at any time. Also, 2G/3G availability near the river was not constant. For non-real-time applications, we propose a Delay/Disruption Tolerant Network (DTN)-based solution where all nodes have persistent storage capabilities and DTN protocols to be able to wait minutes or hours to transmit. A mechanical backhaul will periodically visit the river bank where the gateway is installed and it will automatically Collect Sensor Data to be carried to an Internet-covered spot. The proposed forwarding protocol delivers around 98% of the messages for this scenario, performing better than other well-known DTN routing protocols.

Rabi Mahapatra - One of the best experts on this subject based on the ideXlab platform.

  • NCA - Secure Data Collection Scheme in Wireless Sensor Network with Mobile Sink
    2008 Seventh IEEE International Symposium on Network Computing and Applications, 2008
    Co-Authors: Amar Rasheed, Rabi Mahapatra
    Abstract:

    Wireless Sensor networks that use a mobile sink to Collect Sensor Data along a predetermined path raise a new security challenge: without verifying the source of the Data request message, the network will become vulnerable to attacks. We propose an efficient security scheme, which divides the sinkpsilas Data Collection path into grids, Sensors in each grid, uses secret keying in-formation and collision-resistant hash functions to authenticate the source of beacons. Through probabilistic analysis and definitive simulation, the proposed scheme shows with 60% of the grids under wormhole attacks, the probability that a node reply to a malicious beacon is 0.1.