Load balanced, energy-aware communications for Mars sensor networks

The deployment and operation of self-organizing sensor networks is envisioned to play a key role in space exploration, such as for future in situ exploration of Mars. Sensors are equipped with several measurement instruments and are able to cooperate autonomously and to collect scientific measuremen...

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Hauptverfasser: Xiaoyan Hong, Gerla, M., Hanbiao Wang, Clare, L.
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Gerla, M.
Hanbiao Wang
Clare, L.
description The deployment and operation of self-organizing sensor networks is envisioned to play a key role in space exploration, such as for future in situ exploration of Mars. Sensors are equipped with several measurement instruments and are able to cooperate autonomously and to collect scientific measurements (seismic, chemicals, temperature, etc.). One or more landers or rovers functioning as base stations periodically (or on demand) collect measurements and relay the aggregated sensor field results to an orbiter and from the orbiter back to Earth. In this paper, we propose an efficient routing scheme for Mars sensor networks exploiting the similarity of operations between the wireless, multi-hop communications network connecting instruments (sensors) and rover(s) and the packet radio network used in a typical ad hoc networking environment. A critical issue in routing strategy design that sets the Mars sensor network apart from conventional ad hoc networks is energy conservation and prolonging network lifetime while maintaining connectivity and satisfying latency constraints. Simulation results show that with energy aware path selection, a more even distribution of energy consumption among nodes is developed and leads to longer network life time.
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source IEEE Electronic Library (IEL) Conference Proceedings
subjects Chemical sensors
Extraterrestrial measurements
Instruments
Mars
Routing
Seismic measurements
Space exploration
Temperature measurement
Temperature sensors
Wireless sensor networks
title Load balanced, energy-aware communications for Mars sensor networks
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