QoS-Aware Geographic Routing for Solar-Powered Wireless Sensor Networks

Donggeon NOH; Dongeun LEE; Heonshik SHIN

doi:10.1093/ietcom/e90-b.12.3373

QoS-Aware Geographic Routing for Solar-Powered Wireless Sensor Networks

Donggeon NOH, Dongeun LEE, Heonshik SHIN

Full Text Views

0

Cite this

Summary :

Rapid advances in wireless sensor networks require routing protocols which can accommodate new types of power source and data of differing priorities. We describe a QoS-aware geographic routing scheme based on a solar-cell energy model. It exploits an algorithm (APOLLO) that periodically and locally determines the topological knowledge range (KR) of each node, based on an estimated energy budget for the following period which includes the current energy, the predicted energy consumption, and the energy expected from the solar cell. A second algorithm (PISA) runs on each node and uses its knowledge range to determine a route which meets the objectives of each priority level in terms of path delay, energy consumption and reliability. These algorithms maximize scalability and minimize memory requirements by employing a localized routing method which only uses geographic information about the host node and its adjacent neighbors. Simulation results confirm that APOLLO can determine an appropriate KR for each node and that PISA can meet the objectives of each priority level effectively.

Publication: IEICE TRANSACTIONS on Communications Vol.E90-B No.12 pp.3373-3382

Publication Date: 2007/12/01

Publicized

Online ISSN: 1745-1345

DOI: 10.1093/ietcom/e90-b.12.3373

Type of Manuscript: Special Section PAPER (Special Section on Ubiquitous Sensor Networks)

Category

Cite this

Copy

Donggeon NOH, Dongeun LEE, Heonshik SHIN, "QoS-Aware Geographic Routing for Solar-Powered Wireless Sensor Networks" in IEICE TRANSACTIONS on Communications, vol. E90-B, no. 12, pp. 3373-3382, December 2007, doi: 10.1093/ietcom/e90-b.12.3373.
Abstract: Rapid advances in wireless sensor networks require routing protocols which can accommodate new types of power source and data of differing priorities. We describe a QoS-aware geographic routing scheme based on a solar-cell energy model. It exploits an algorithm (APOLLO) that periodically and locally determines the topological knowledge range (KR) of each node, based on an estimated energy budget for the following period which includes the current energy, the predicted energy consumption, and the energy expected from the solar cell. A second algorithm (PISA) runs on each node and uses its knowledge range to determine a route which meets the objectives of each priority level in terms of path delay, energy consumption and reliability. These algorithms maximize scalability and minimize memory requirements by employing a localized routing method which only uses geographic information about the host node and its adjacent neighbors. Simulation results confirm that APOLLO can determine an appropriate KR for each node and that PISA can meet the objectives of each priority level effectively.
URL: https://global.ieice.org/en_transactions/communications/10.1093/ietcom/e90-b.12.3373/_p

Copy

@ARTICLE{e90-b_12_3373,
author={Donggeon NOH, Dongeun LEE, Heonshik SHIN, },
journal={IEICE TRANSACTIONS on Communications},
title={QoS-Aware Geographic Routing for Solar-Powered Wireless Sensor Networks},
year={2007},
volume={E90-B},
number={12},
pages={3373-3382},
abstract={Rapid advances in wireless sensor networks require routing protocols which can accommodate new types of power source and data of differing priorities. We describe a QoS-aware geographic routing scheme based on a solar-cell energy model. It exploits an algorithm (APOLLO) that periodically and locally determines the topological knowledge range (KR) of each node, based on an estimated energy budget for the following period which includes the current energy, the predicted energy consumption, and the energy expected from the solar cell. A second algorithm (PISA) runs on each node and uses its knowledge range to determine a route which meets the objectives of each priority level in terms of path delay, energy consumption and reliability. These algorithms maximize scalability and minimize memory requirements by employing a localized routing method which only uses geographic information about the host node and its adjacent neighbors. Simulation results confirm that APOLLO can determine an appropriate KR for each node and that PISA can meet the objectives of each priority level effectively.},
keywords={},
doi={10.1093/ietcom/e90-b.12.3373},
ISSN={1745-1345},
month={December},}

Copy

TY - JOUR
TI - QoS-Aware Geographic Routing for Solar-Powered Wireless Sensor Networks
T2 - IEICE TRANSACTIONS on Communications
SP - 3373
EP - 3382
AU - Donggeon NOH
AU - Dongeun LEE
AU - Heonshik SHIN
PY - 2007
DO - 10.1093/ietcom/e90-b.12.3373
JO - IEICE TRANSACTIONS on Communications
SN - 1745-1345
VL - E90-B
IS - 12
JA - IEICE TRANSACTIONS on Communications
Y1 - December 2007
AB - Rapid advances in wireless sensor networks require routing protocols which can accommodate new types of power source and data of differing priorities. We describe a QoS-aware geographic routing scheme based on a solar-cell energy model. It exploits an algorithm (APOLLO) that periodically and locally determines the topological knowledge range (KR) of each node, based on an estimated energy budget for the following period which includes the current energy, the predicted energy consumption, and the energy expected from the solar cell. A second algorithm (PISA) runs on each node and uses its knowledge range to determine a route which meets the objectives of each priority level in terms of path delay, energy consumption and reliability. These algorithms maximize scalability and minimize memory requirements by employing a localized routing method which only uses geographic information about the host node and its adjacent neighbors. Simulation results confirm that APOLLO can determine an appropriate KR for each node and that PISA can meet the objectives of each priority level effectively.
ER -