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

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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.


Success Rate of MHFR, LQER and MCR
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f6-sensors-08-01025: Success Rate of MHFR, LQER and MCR

Mentions: Figure 6 shows the comparison of success rate in LQER, MHFR and MCR with different node number, where k equals to 9. It is clear that the success rate in LQER is higher than that in MHFR and MCR, and when node number increases, the variation is small, which indicates a good scalability of data delivery efficiency. The success rate of MHFR and MCR decline as the node number increases and that of MCR declines more quickly. Particularly, when number of nodes equals to 1000, LQER (95.01%) results in percent of success rate that are more than 21.23% higher than those in MHFR (78.37%), and 86.99% higher than those in MCR (50.81%)


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

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

f6-sensors-08-01025: Success Rate of MHFR, LQER and MCR
Mentions: Figure 6 shows the comparison of success rate in LQER, MHFR and MCR with different node number, where k equals to 9. It is clear that the success rate in LQER is higher than that in MHFR and MCR, and when node number increases, the variation is small, which indicates a good scalability of data delivery efficiency. The success rate of MHFR and MCR decline as the node number increases and that of MCR declines more quickly. Particularly, when number of nodes equals to 1000, LQER (95.01%) results in percent of success rate that are more than 21.23% higher than those in MHFR (78.37%), and 86.99% higher than those in MCR (50.81%)

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.