Distributed event detection in sensor networks under random spatial deployment

Pengfei Zhang; Gareth Peters; Ido Nevat; Gaoxi Xiao; Hwee-Pink Tan

doi:10.1109/MILCOM.2014.110

Distributed event detection in sensor networks under random spatial deployment

Pengfei Zhang, Gareth Peters, Ido Nevat, Gaoxi Xiao, Hwee-Pink Tan

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

5 Citations (Scopus)

Abstract

We present a novel event detection algorithm in sensor networks for the case where the sensors are randomly deployed in space. In particular we consider a random sensors deployment according to a Homogeneous Finite Binomial Point Process. We first derive the optimal event detection decision rule. We then develop a novel algorithm to evaluate the intractable marginal likelihood based on the Gram-Charlier series expansion. We evaluate our algorithms through extensive Monte Carlo simulations. Simulation results present the detection and false alarm rates for different system parameters such as number of sensors deployed, deployment region size etc.

Original language	English
Title of host publication	2014 IEEE Military Communications Conference
Publisher	IEEE
Pages	623-629
Number of pages	7
ISBN (Electronic)	9781479967704
DOIs	https://doi.org/10.1109/MILCOM.2014.110
Publication status	Published - 20 Nov 2014
Event	33rd Annual IEEE Military Communications Conference 2014 - Baltimore, United States Duration: 6 Oct 2014 → 8 Oct 2014

Conference

Conference	33rd Annual IEEE Military Communications Conference 2014
Country/Territory	United States
City	Baltimore
Period	6/10/14 → 8/10/14

Keywords

Event detection
Finite Binomial Point Process
Gram-Charlier series expansion
Sensor networks

ASJC Scopus subject areas

Electrical and Electronic Engineering

Access to Document

10.1109/MILCOM.2014.110

Cite this

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title = "Distributed event detection in sensor networks under random spatial deployment",

abstract = "We present a novel event detection algorithm in sensor networks for the case where the sensors are randomly deployed in space. In particular we consider a random sensors deployment according to a Homogeneous Finite Binomial Point Process. We first derive the optimal event detection decision rule. We then develop a novel algorithm to evaluate the intractable marginal likelihood based on the Gram-Charlier series expansion. We evaluate our algorithms through extensive Monte Carlo simulations. Simulation results present the detection and false alarm rates for different system parameters such as number of sensors deployed, deployment region size etc.",

keywords = "Event detection, Finite Binomial Point Process, Gram-Charlier series expansion, Sensor networks",

author = "Pengfei Zhang and Gareth Peters and Ido Nevat and Gaoxi Xiao and Hwee-Pink Tan",

year = "2014",

month = nov,

day = "20",

doi = "10.1109/MILCOM.2014.110",

language = "English",

pages = "623--629",

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note = "33rd Annual IEEE Military Communications Conference 2014 ; Conference date: 06-10-2014 Through 08-10-2014",

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TY - GEN

T1 - Distributed event detection in sensor networks under random spatial deployment

AU - Zhang, Pengfei

AU - Peters, Gareth

AU - Nevat, Ido

AU - Xiao, Gaoxi

AU - Tan, Hwee-Pink

PY - 2014/11/20

Y1 - 2014/11/20

N2 - We present a novel event detection algorithm in sensor networks for the case where the sensors are randomly deployed in space. In particular we consider a random sensors deployment according to a Homogeneous Finite Binomial Point Process. We first derive the optimal event detection decision rule. We then develop a novel algorithm to evaluate the intractable marginal likelihood based on the Gram-Charlier series expansion. We evaluate our algorithms through extensive Monte Carlo simulations. Simulation results present the detection and false alarm rates for different system parameters such as number of sensors deployed, deployment region size etc.

AB - We present a novel event detection algorithm in sensor networks for the case where the sensors are randomly deployed in space. In particular we consider a random sensors deployment according to a Homogeneous Finite Binomial Point Process. We first derive the optimal event detection decision rule. We then develop a novel algorithm to evaluate the intractable marginal likelihood based on the Gram-Charlier series expansion. We evaluate our algorithms through extensive Monte Carlo simulations. Simulation results present the detection and false alarm rates for different system parameters such as number of sensors deployed, deployment region size etc.

KW - Event detection

KW - Finite Binomial Point Process

KW - Gram-Charlier series expansion

KW - Sensor networks

UR - http://www.scopus.com/inward/record.url?scp=84912565106&partnerID=8YFLogxK

U2 - 10.1109/MILCOM.2014.110

DO - 10.1109/MILCOM.2014.110

M3 - Conference contribution

AN - SCOPUS:84912565106

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EP - 629

BT - 2014 IEEE Military Communications Conference

PB - IEEE

T2 - 33rd Annual IEEE Military Communications Conference 2014

Y2 - 6 October 2014 through 8 October 2014

ER -

Distributed event detection in sensor networks under random spatial deployment

Abstract

Conference

Keywords

ASJC Scopus subject areas

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