Energy efficient change detection over a MAC using physical layer fusion

Abstract

We propose a simple and energy efficient distributed Change Detection scheme for sensor networks based on Page's parametric CUSUM algorithm. The sensor observations are IID over time and across the sensors conditioned on the change variable. Each sensor run CUSUM and transmits only when the CUSUM is above some threshold. The transmissions from the sensors are fused at the physical layer. The channel is modeled as a Multiple Access Channel (MAC) corrupted with IID noise. The fusion center which is the global decision maker, performs another CUSUM to detect the change. We provide the analysis and simulation results for our scheme and compare the performance with an existing scheme which ensures energy efficiency via optimal power selection.

Sequential detection based cooperative spectrum sensing algorithms in cognitive radio

“…We have used the DualCUSUM algorithm presented in [1] for spectrum sensing. DualCUSUM needs the probability densities before and after change.…”

“…In [20] we have applied a decentralized cooperative algorithm, DualCUSUM, developed in [1], for spectrum sensing. It performs better than many other algorithms developed recently.…”

Generalized analysis of a distributed energy efficient algorithm for change detection

“…In Section 3 we obtain the performance of DualCUSUM for given values (β , γ, b, I) which then can be used in the optimization algorithm developed in [2] to efficiently solve the optimization problem above.…”

“…This issue is exploited in [2] to propose a CUSUM based algorithm called DualCUSUM. This new algorithm was shown to perform much better than the one in [20] and the gap in performance was shown to increase at lower energy and false alarm constraints.…”

“…An energy efficient distributed Change Detection scheme based on Page's CUSUM algorithm was presented in [2]. In this paper we consider a nonparametric version of this algorithm.…”