Title
Path Finding for Maximum Value of Information in Multi-Modal Underwater Wireless Sensor Networks.
Abstract
We consider underwater multi-modal wireless sensor networks (UWSNs) suitable for applications on submarine surveillance and monitoring, where nodes offload data to a mobile autonomous underwater vehicle (AUV) via optical technology, and coordinate using acoustic communication. Sensed data are associated with a value, decaying in time. In this scenario, we address the problem of finding the path of the AUV so that the Value of Information (VoI) of the data delivered to a sink on the surface is maximized. We define a Greedy and Adaptive AUV Path-finding (GAAP) heuristic that drives the AUV to collect data from nodes depending on the VoI of their data. For benchmarking the performance of AUV path-finding heuristics, we define an integer linear programming (ILP) formulation that accurately models the considered scenario, deriving a path that drives the AUV to collect and deliver data with the maximum VoI. In our experiments GAAP consistently delivers more than 80 percent of the theoretical maximum VoI determined by the ILP model. We also compare the performance of GAAP with that of other strategies for driving the AUV among sensing nodes, namely, random paths, TSP-based paths and a lawn mower-like strategy. Our results show that GAAP always outperforms every other heuristic in terms of delivered VoI, also obtaining higher energy efficiency.
Year
DOI
Venue
2018
10.1109/TMC.2017.2706689
IEEE Trans. Mob. Comput.
Keywords
Field
DocType
Monitoring,Optical sensors,Wireless sensor networks,Acoustics,Mobile computing,Optimized production technology
Mobile computing,Heuristic,Efficient energy use,Computer science,Computer network,Integer programming,Heuristics,Value of information,Wireless sensor network,Underwater
Journal
Volume
Issue
ISSN
17
2
1536-1233
Citations 
PageRank 
References 
11
0.56
7
Authors
6
Name
Order
Citations
PageRank
Petrika Gjanci1112.59
C. Petrioli21713157.55
Stefano Basagni356452.16
Cynthia A. Phillips41184123.02
Ladislau Bölöni533542.82
Damla Turgut6112787.39