New products, Conferences, Books, Papers, Internet of Things

The Research Corner

This page covers popular simulators, operating systems, research platforms, and popular research testbeds currently adopted for WSNs. The objective is to inform and to provide guidances to new researchers that wish to get some initial advices in choosing the appropriate tools for their tasks.

Research on WSNs is highly active, tools and platforms are constantly evolving and new architectures appearing. As a result, this page may change and be periodically updated with new inputs and research novelties. We would much appreciate to include new tools, read your comments and follow advices to help making this page comprehensive. Feel free to drop us an email.

WSN control tools

Octopus is an open-source java-based dashboard developed at University College Dublin, to visualise and to control a wireless sensor network in the TinyOS 2.x environment. Octopus provides users with a graphical user interface for viewing the live sensor network topology and control the behavior of sensor nodes, such as the energy consumption, the sampling period, the radio duty cycle and formulating application queries to the nodes. Recently the Octopus team has released the Octopus dashboard v.2.1 that includes multi-platform support, software-based energy estimation and some new features .

The MViz network visualization tool is a basic application for multihop collection network to display node parameters in TinyOS 2.x.

Surge is a java program for displaying multihop routing topology in sensor networks. The Surge can be used as a visual demonstration of the network topology and to display routes in TinyOS 2.x.

Popular WSN simulators

Ns is a C++ discrete event simulator targeted at networking research. Ns provides substantial support for simulation of TCP, routing, and multicast protocols over wired and wireless (local and satellite) networks.

Pros: Well-known simulator in the research community; Active mailing list; good development help; extensive documentation; large amount of contributing code.

Cons: Limited GUI support, may be complex to debug, not a component-based architecture like other related simulators;

WSN frameworks: Mannasim, 802.15.4.

OMNeT++ is a C++ open-source, component-based, modular and open-architecture simulation environment with strong GUI support and an embeddable simulation kernel. The simulator targets mainly communication networks but it has also been used in other areas like the simulation of IT systems, queueing networks, hardware architectures and business processes.

Pros: It has a component-based architecture, well-known WSN simulator, active mailing list, good GUI support.

Cons: Some scalability problems noticed for large-scale networks.

WSN frameworks: Castalia, Consensus, Mobility, NesCT.

Tossim is a TinyOS-based simulator for wireless sensor networks and it comes with standard installation of the operating system. It uses the nesC language that is a dialect of C used for the motes. TOSSIM simulates the TinyOS network stack at the bit level, allowing experimentation with low-level protocols and top-level application systems.

Pros: It supports network of hundreds or thousands of motes. The same code that is written for Tossim can be directly implemented onto the motes.

Cons: It can simulate code for TinyOS only. Only known inside the WSNs research sphere. It only supports mote-like devices implemented for TinyOS but not other more powerful nodes (e.g. A stargate); It cannot simulate different binaries running on different motes.

J-Sim is a component-based, compositional simulation environment. It has been built upon the notion of the autonomous component-programming model. J-Sim is a dual-language simulation environment in which classes are written in Java (for ns-2, in C++) and “glued” together using Tcl/Java.

Pros: JavaSim has a component-oriented architecture appropriated for WSNs; component code can be extended and reused; it is platform independent. Support available through mailing list; It shows better scalability and usage of memory that ns2 when simulating protocols such as GPRS or AODV.

Cons: Less known to the research community than ns2 or OmNet++;

Qualnet (ex GloMoSim) from Scalable network technologies is a C/C++ network simulator that that emphasises physical wireless networks as “software virtual networks”. QualNet performs accurate and simultaneous emulation of network devices, transmitters, antennas, terrestrial characteristics, and human interactions. it can run on multiple processor in parallel to increase the speed of the simulation. The last version 4.5 supports also sensor networks.

Pros: very good models, easy to code, scalable.

Cons: It is not an open source; basic technical support by a community forum; some people experienced delay in the forum-based technical support; advanced support to purchase.

WSN frameworks: version 4.5

Avrora is a research project of the UCLA Compilers Group that is a set of simulation and analysis tools for programs written for the AVR microcontroller produced by Atmel and the Mica2 sensor nodes. Avrora contains a framework for simulating and analyzing assembly programs, providing a clean Java API and infrastructure for experimentation, profiling, and analysis.

Pros: It is an open-source, scalability, precise timing

Cons: It specifically address AVR microcontroller, it does not address protocol-level issues.

Popular WSN operating systems

Popular Research Platform Providers

Next Generation Research Platforms

Main Conferences

EWSN, European Workshop on Wireless Sensor Networks

Comments on: "The Research Corner" (11)

  1. Hi all ,

    I am new to wireless sensor network . i have one doubt if we are implementing clustering algorithm LEACH using ns2.27(cygwin) then whether we requie mannasim or it will automatically create sensor network environment ..
    may be my question is silly but plz reply its urgent

  2. John Water said:

    NetSim v7 (www.tetcos.com) is the most widely used simulator for LEACH protocol in WSN. Using the GUI or the config file scenarios can be created. Source C code is available for modification (clustering / energy management etc).

  3. http://wsnlab.org/downloads/

    u can find LEACH code here if u want its implemented in matlab and NS2

  4. need help how to implement ,two level clustering ,each level cluster head decide through the threshold high and threshold low,which is compared to RSS.First level CH will have RSS>thr-high,for the messages send by base station(BS-msgs).This first level CH sends CH-msg,whose RSS is compared to thr-high,if it is more than thr-high,then they become group memebers.IF the CH-msgs are received by nodes ,whose RSS is between thr-high and thr-low,they become 2nd level CH and choose the node with highest RSS as their parent to route info to BS.New CHs
    may receive different CH-Msgs from previous-level CHs.
    In this case, new CHs consider these messages in order to
    construct multiple paths toward base station and sort these
    paths based on certain criterions (such as link quality, endto-
    end delay, bandwidth, or number of hops in the path).
    Paths with good conditions, like high link quality, short endto-
    end delay, enough bandwidth, or less number of hops,
    are reserved for multimedia communication that requires
    certain level of quality of service requirements. Other paths
    will be used for other types of data that does not require strict
    QoS requirements such as scalar data. If the RSSI is less than
    Thr-Low, the message is considered as lost or ignored.two-level QoS-aware scheduling ,low-level scheduling within each cluster among the
    GMs and high-level scheduling among the cluster heads in
    order to increase the packet delivery ratio and throughput
    for multimedia data.The low-level scheduling process is initiated by the CH by
    sending a broadcast message asking each GM in the cluster
    to send their requests informing about the type of data to
    be transmitted, its amount, and its requirements (such as
    playout deadline, BW, etc.). This broadcast message, Assign-
    Msg, contains the control slot assignment (i.e., time slot to
    each GM) in the cluster. The duration of the control slot is
    enough to any node in the cluster to send its request message
    (Req-Msg), and the time slot is unique for each GM to avoid
    collisions. During the request phase, each GM sends a Req-
    Msg to its CH at the allocated time slot informing about the
    data to be sent (if available) and its QoS requirements.
    Then based on the collected information from the
    request phase, each CHgenerates a transmission schedule for
    the active GMs and distributes it in the cluster. The resulting
    schedule is sent to all GMs by broadcasting a scheduling
    message, Sched-Msg, to inform each GM with the specified
    time schedule for sending each type of data.

    After receiving the schedule, each GMwill transmit its
    data during the assigned time slots for each data type and the
    CH sends, after receiving a certain number of data packets,
    an Ack-Msg to the sender. When the data
    transmission phase completes, a CH sends again the Assign-
    Msg to its GMs to send their requests.
    At higher level, each intermediate cluster head—in the
    same manner done at low level—schedules the traffic toward
    the sink from other cluster heads (its children) based on the
    type of the data and its QoS requirements.THis is done in ns-2.

    CAn anyone help with the coding part!!also about setting the threshold high and threshold low!!!!!!

  5. Hi, I want to simulate a new topology control algorithm for my thesis, please can anyone let me know which would be good software for that and can anyone let me know where can I find source codes for Tc algorithms,thank you

  6. Hello everyone,

    I want to know which tool should i use to implement public key cryptography algorithm for wsn to calculate encryption and decryption speed and also to calculate it energy consumption ? Will it possible to find source code for that tool ? I really need help… plz help me.

  7. Karthikeyan said:

    Hai…I am new to wsn….I need to implement grade diffusion routing algorithm in wsn..which simulator i have to use?please provide me with source code….

  8. Hi all, I want to create Markov Model for power manager in wireless sensor network. Would you plz lemme know which tool will be open source and good for it

Leave a Reply

Fill in your details below or click an icon to log in:

WordPress.com Logo

You are commenting using your WordPress.com account. Log Out / Change )

Twitter picture

You are commenting using your Twitter account. Log Out / Change )

Facebook photo

You are commenting using your Facebook account. Log Out / Change )

Google+ photo

You are commenting using your Google+ account. Log Out / Change )

Connecting to %s

Follow

Get every new post delivered to your Inbox.

Join 795 other followers

%d bloggers like this: