Supporting concurrent applications in wireless sensor networks

Abstract

It is vital to support concurrent applications sharing a wireless sensor network in order to reduce the deployment and administrative costs, thus increasing the usability and efficiency of the network. We describe Melete 1 , a system that supports concurrent applications with efficiency, reliability, flexibility, programmability, and scalability. Our work is based on the Maté virtual machine [1] with significant modifications and enhancements. Melete enables reliable storage and execution of concurrent applications on a single sensor node. Dynamic grouping is used for flexible, on-the-fly deployment of applications based on contemporary status of the sensor nodes. The grouping procedure itself is programmed with the TinyScript language. A group-keyed code dissemination mechanism is also developed for reliable and efficient code distribution among sensor nodes. Both analytical and simulation results are presented to study the impact of several key parameters and optimization techniques on the code dissemination mechanism. Simulation results indicate satisfactory scalability of our techniques to both application code size and node density. The usefulness and effectiveness of Melete is also validated by empirical study.

Collaborative routing and data delivery architecture for commercial wireless sensor networks

“…The idea of virtual sensor network proposes virtualization of multiple applications running over a single sensor network [3]. Yu et al [4] support concurrent application provisioning on a sensor network with an emphasis on over-the-air programming prospects. Mottola and Picco [5] propose a programming abstraction as a mean to support multiple applications over a single sensor network.…”

“…Although keeping SD 2 low causes reduction in throughput and increased transmission delay, nonetheless this may be an acceptable option considering the availability of a shared channel backup. Figure 11 shows the variation of E s and E d with SD 1 based on Equations (3) and (4). The values of parameters for these graphs are given in Table 1.…”

“…Lately, bulk manufacturing of inexpensive sensor node hardware has resulted in commercial deployment of these networks in order to provide on-demand sensor services to end users. Analogous to the fast proliferation of cellular network services to end users owing to mass production of low-cost mobile handsets, we anticipate swift commercial deployment of sensor networks for sensor services in the near future because research efforts are now rapidly directed towards designing concurrent applications for sensor networks and technical support for commercial sensor services [1][2][3][4][5][6].…”

A framework for service provisioning in virtual sensor networks

“…By providing a limited number of instructions necessary for a specific application, Maté/ASVM can reduce the size of the assembly code to be transmitted to each node. Melete [14] extends Maté and supports multiple concurrent applications. VMStar [15] is another framework for building application-specific virtual machines and allows the dynamic update of the system software, such as the virtual machine itself, as well as the application code.…”

Enhanced Coordination in Sensor Networks through Flexible Service Provisioning

“…Some scripting systems, including Maté [34], ASVM [35], SwissQM [40], and Agilla [19], enable reprogramming. Other systems, including Melete [51] and SensorWare [11], enable multiple applications to share a WSN. All of these systems come with different scripting languages [33,23,37,50].…”