DocumentCode
2450059
Title
Achieving High Lifetime and Low Delay in Very Large Sensors Networks Using Mobile Sinks
Author
Poe, Wint Yi ; Beck, Michael ; Schmitt, Jens B.
Author_Institution
Distrib. Comput. Syst. Lab. (DISCO), Univ. of Kaiserslautern, Kaiserslautern, Germany
fYear
2012
fDate
16-18 May 2012
Firstpage
17
Lastpage
24
Abstract
For smaller scale wireless sensor networks (WSN) it has been clearly shown that a single mobile sink can be very beneficial with respect to the network lifetime. Yet, how to plan the trajectories of many mobile sinks in very large WSNs in order to simultaneously achieve lifetime and delay goals has not been treated so far. In this paper, we delve into this difficult problem and propose a heuristic framework using multiple orbits for the sinks´ trajectories. The framework is carefully designed based on geometric arguments to achieve both, high lifetime and low delay. In simulations, we compare two different instances of our framework, one conceived based on a load balancing argument and one based on a distance minimization argument, with a set of different competitors spanning from statically placed sinks to battery-state aware strategies. We find our heuristics to perform very favorably: both instances outperform the competitors in both, lifetime and delay. Furthermore, and probably even more importantly, the heuristic, while keeping its good delay and lifetime performance, scales well with an increasing number of sinks.
Keywords
delays; telecommunication network reliability; wireless sensor networks; WSN; battery-state aware strategy; distance minimization argument; heuristic framework; load balancing argument; low delay; network lifetime; single mobile sink; sink trajectory; small scale wireless sensor networks; very large sensors networks; Delay; Energy consumption; Euclidean distance; Mobile communication; Orbits; Trajectory; Wireless sensor networks; Design and Optimization; Lifetime; Mobile Sinks; Sink Trajectories; Wireless Sensor Network; Worst-Case Delay;
fLanguage
English
Publisher
ieee
Conference_Titel
Distributed Computing in Sensor Systems (DCOSS), 2012 IEEE 8th International Conference on
Conference_Location
Hangzhou
Print_ISBN
978-1-4673-1693-4
Type
conf
DOI
10.1109/DCOSS.2012.20
Filename
6227720
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