Name
Abstract | ||
|---|---|---|
Considerable research has been performed in applying run-time reconfigurable component models to Wireless Sensor Networks. The ability to dynamically deploy or update software components has clear advantages in sensor network deployments, which are typically large in scale and expected to operate for long periods in dynamic environments. Realizing distributed reconfiguration in Wireless Sensor Networks is complicated by the inherently asynchronous and unreliable nature of these systems. In such an environment, achieving quiescence is both costly and impossible to guarantee. Additionally, the success of reconfiguration actions cannot be determined with certainty. This paper advocates for a hierarchical, adaptive, graph-based approach to supporting reconfiguration. We argue that application developers should specify only high level reconfiguration graphs, which are then compiled, partitioned and enacted in an adaptive manner by a context aware distributed reconfiguration engine. |
Year | DOI | Venue |
|---|---|---|
2009 | 10.1109/NetCoM.2009.18 | Chennai |
Keywords | Field | DocType |
new google,function drawchart,load alert2,var data,function loadalert2,function letemknow,wireless sensor networks function,load alert,function loadalert,function testthis,concrete,ubiquitous computing,computer architecture,wireless sensor network,software deployment,application development,distributed processing,graph theory,software component,sensor network,component model,wireless sensor networks,fault tolerance | Graph theory,Key distribution in wireless sensor networks,Asynchronous communication,Computer science,Computer network,Fault tolerance,Ubiquitous computing,Component-based software engineering,Wireless sensor network,Control reconfiguration,Distributed computing | Conference |
ISBN | Citations | PageRank |
978-0-7695-3924-9 | 2 | 0.39 |
References | Authors | |
11 | 5 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Wouter Horre | 1 | 143 | 9.18 |
| Kevin Lee | 2 | 340 | 27.53 |
| Danny Hughes | 3 | 385 | 49.25 |
| Sam Michiels | 4 | 367 | 40.88 |
| Wouter Joosen | 5 | 2898 | 287.70 |