Simulation of wireless sensor networks under partial coverage

Authors:
Ruth Lamprecht;Peter Kemper
Affiliations:
College of William and Mary, Wiiliamsburg, VA;College of William and Mary, Wiiliamsburg, VA
Venue:
Proceedings of the Winter Simulation Conference
Year:
2011

Citing 11
Cited 0

Simulation Modeling and Analysis

Simulation Modeling and Analysis
The Möbius Framework and Its Implementation

IEEE Transactions on Software Engineering
An environmental sensor network to determine drinking water quality and security

ACM SIGMOD Record
A wireless sensor network For structural monitoring

SenSys '04 Proceedings of the 2nd international conference on Embedded networked sensor systems
A line in the sand: a wireless sensor network for target detection, classification, and tracking

Computer Networks: The International Journal of Computer and Telecommunications Networking - Special issue: Military communications systems and technologies
Towards optimal sleep scheduling in sensor networks for rare-event detection

IPSN '05 Proceedings of the 4th international symposium on Information processing in sensor networks
Sleep and Wakeup Strategies in Solar-Powered Wireless Sensor/Mesh Networks: Performance Analysis and Optimization

IEEE Transactions on Mobile Computing
DDDAS approaches to wildland fire modeling and contaminant tracking

Proceedings of the 38th conference on Winter simulation
Energy-efficient connected coverage of discrete targets in wireless sensor networks

International Journal of Ad Hoc and Ubiquitous Computing
Analyzing object detection quality under probabilistic coverage in sensor networks

IWQoS'05 Proceedings of the 13th international conference on Quality of Service
Energy efficient battery management

IEEE Journal on Selected Areas in Communications

Quantified Score

Hi-index	0.00

Visualization

Abstract

This paper presents research using simulation to explore the sensitivity of the network lifetime of a wireless sensor network (WSN) under the constraint to maintain a chosen coverage percentage when different aspects of the node model are included. Specifically, we begin with a simple sensor node that can transition between an Awake mode and a Sleep mode, dependent on meeting the coverage constraint with a simple battery model that expends energy when the node is in the Awake mode. We then compare this network behavior to when the battery model includes battery recovery behavior. We conclude that while the difference between the behaviors is small, they are significant enough to warrant the inclusion of a more sophisticated battery model when modeling wireless sensor networks.