Name
Title | ||
|---|---|---|
Tradeoff between estimation performance and sensor usage in distributed localisation problems |
Abstract | ||
|---|---|---|
In distributed sensor networks, the tradeoff between application performance and resource consumption is a fundamental issue. In this paper, we analyse the tradeoff in the context of localisation problems. In particular, the localisation performance is characterised using the Cramer-Rao lower bound which reflects the performance limit in the family of unbiased estimators. For a variety of distance-sensitive sensing models, the bound comes in closed-form. In view of the tradeoff, we design a circular incremental inclusion scheme for efficient sensor tasking and propose to use the theoretical Cramer-Rao lower bound as a guiding heuristic. Our results reveal that there is a performance limit for collaborative sensing, and the expansion of sensing group size incurs fast diminishing returns on performance. The study results in new insights and provides general guidelines for sensor tasking in practical applications. |
Year | DOI | Venue |
|---|---|---|
2006 | 10.1504/IJAHUC.2006.010504 | IJAHUC |
Keywords | Field | DocType |
circular incremental inclusion scheme,localisation problem,sensor usage,localisation performance,estimation performance,sensor tasking,fundamental issue,performance limit,efficient sensor tasking,application performance,sensor network,theoretical cramer-rao,sensor networks,cramer rao lower bound,wireless networks | Cramér–Rao bound,Resource consumption,Wireless network,Heuristic,Computer science,Upper and lower bounds,Performance limit,Wireless sensor network,Distributed computing,Estimator | Journal |
Volume | Issue | Citations |
1 | 4 | 0 |
PageRank | References | Authors |
0.34 | 7 | 2 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Juan Liu | 1 | 1128 | 145.32 |
| Qingfeng Huang | 2 | 749 | 50.42 |