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Title: Path Finding for Maximum Value of Information in Multi-Modal Underwater Wireless Sensor Networks

Here, 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 everymore » other heuristic in terms of delivered VoI, also obtaining higher energy efficiency.« less
Authors:
ORCiD logo [1] ;  [1] ;  [2] ;  [3] ; ORCiD logo [4] ; ORCiD logo [4]
  1. Univ. di Roma "La Sapienza", Roma (Italy)
  2. Northeastern Univ., Boston, MA (United States)
  3. Sandia National Lab. (SNL-NM), Albuquerque, NM (United States)
  4. Univ. of Central Florida, Orlando, FL (United States)
Publication Date:
Report Number(s):
SAND-2018-5635J
Journal ID: ISSN 1536-1233; 663438
Grant/Contract Number:
AC04-94AL85000
Type:
Accepted Manuscript
Journal Name:
IEEE Transactions on Mobile Computing
Additional Journal Information:
Journal Volume: 17; Journal Issue: 2; Journal ID: ISSN 1536-1233
Publisher:
IEEE
Research Org:
Sandia National Lab. (SNL-NM), Albuquerque, NM (United States)
Sponsoring Org:
USDOE National Nuclear Security Administration (NNSA)
Country of Publication:
United States
Language:
English
Subject:
47 OTHER INSTRUMENTATION; underwater networking; value of information; autonomous underwater vehicle; multi-modal communications
OSTI Identifier:
1444093