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LQER: A Link Quality Estimation based Routing for Wireless Sensor Networks

View Article: PubMed Central - PubMed

ABSTRACT

Routing protocols are crucial to self-organize wireless sensor networks (WSNs), which have been widely studied in recent years. For some specific applications, both energy aware and reliable data transmission need to be considered together. Historical link status should be captured and taken into account in making data forwarding decisions to achieve the data reliability and energy efficiency tradeoff. In this paper, a dynamic window concept (m, k) is presented to record the link historical information and a link quality estimation based routing protocol (LQER) are proposed, which integrates the approach of minimum hop field and (m, k). The performance of LQER is evaluated by extensive simulation experiments to be more energy-aware, with lower loss rate and better scalability than MHFR [1] and MCR [2]. Thus the WSNs with LQER get longer lifetime of networks and better link quality.

No MeSH data available.


Average Energy Consumption of MHFR, LRER and MCR
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f3-sensors-08-01025: Average Energy Consumption of MHFR, LRER and MCR

Mentions: Figure 3 shows the comparison of average energy consumption over 10000 seconds, where node number N=100, k=9. As a result, it is obvious that LQER can save more energy than MHFR and MCR, especially with time passed. This is because it is not enough to consider only cost and hop count in case the link quality is poor. If the poor link is chosen to deliver the data, loss rate will be high and retransmission will cause extra energy consumption, at the cost of lifetime of WSNs.


LQER: A Link Quality Estimation based Routing for Wireless Sensor Networks
Average Energy Consumption of MHFR, LRER and MCR
© Copyright Policy
Related In: Results  -  Collection

Show All Figures
getmorefigures.php?uid=PMC3927531&req=5

f3-sensors-08-01025: Average Energy Consumption of MHFR, LRER and MCR
Mentions: Figure 3 shows the comparison of average energy consumption over 10000 seconds, where node number N=100, k=9. As a result, it is obvious that LQER can save more energy than MHFR and MCR, especially with time passed. This is because it is not enough to consider only cost and hop count in case the link quality is poor. If the poor link is chosen to deliver the data, loss rate will be high and retransmission will cause extra energy consumption, at the cost of lifetime of WSNs.

View Article: PubMed Central - PubMed

ABSTRACT

Routing protocols are crucial to self-organize wireless sensor networks (WSNs), which have been widely studied in recent years. For some specific applications, both energy aware and reliable data transmission need to be considered together. Historical link status should be captured and taken into account in making data forwarding decisions to achieve the data reliability and energy efficiency tradeoff. In this paper, a dynamic window concept (m, k) is presented to record the link historical information and a link quality estimation based routing protocol (LQER) are proposed, which integrates the approach of minimum hop field and (m, k). The performance of LQER is evaluated by extensive simulation experiments to be more energy-aware, with lower loss rate and better scalability than MHFR [1] and MCR [2]. Thus the WSNs with LQER get longer lifetime of networks and better link quality.

No MeSH data available.