• Corpus ID: 59057379

PERFORMANCE ANALYSIS OF AN OPTIMIZED ENERGY EFFICIENT DATA AGGREGATION PROTOCOL

@inproceedings{Ranga2010PERFORMANCEAO,
  title={PERFORMANCE ANALYSIS OF AN OPTIMIZED ENERGY EFFICIENT DATA AGGREGATION PROTOCOL},
  author={Virender Ranga and Jagan Nath and Mohit Dua},
  year={2010}
}
Data aggregation in wireless sensor networks is widely accepted as an essential paradigm for energy efficient routing but with low reliability under node and link failures. Also, malicious sensor nodes send false data reports to distort aggregation results. In this paper, we propose a protocol which associates a packet’s reliability in data transmission with the amount of information it contains and gives higher reliability to the packet which has more information by adjusting the degree of… 
1 Citations

Figures from this paper

EIRDA: An Energy Efficient Interest based Reliable Data Aggregation Protocol for Wireless Sensor Networks
TLDR
An Energy Efficient Interest Based Reliable Data Aggregation (EIRDA) Protocol for WSNs is proposed and simulation result shows that EIRDA is efficient in terms of energy and achieves higher reliability.

References

SHOWING 1-10 OF 21 REFERENCES
Functional Reputation Based Data Aggregation for Wireless Sensor Networks
  • S. Ozdemir
  • Computer Science
    2008 IEEE International Conference on Wireless and Mobile Computing, Networking and Communications
  • 2008
TLDR
A novel reliable data aggregation protocol, called RDAT, which is based on the concept of functional reputation, which enables data aggregators to evaluate each type of sensor node action using a respective reputation value thereby increasing the accuracy of the trust system.
Reliable data aggregation protocol for wireless sensor networks
TLDR
This paper abstracts two fundamental routing protocols, which can be generally grouped in two broad categories based on the intrinsic nature of WSN, and argues that none of previous proposed routing protocols satisfies all of them at the same time.
Data-aggregation techniques in sensor networks: a survey
TLDR
This article presents a survey of data-aggregation algorithms in wireless sensor networks and compares and contrast different algorithms on the basis of performance measures such as lifetime, latency, and data accuracy.
Secure data aggregation without persistent cryptographic operations in wireless sensor networks
TLDR
A secure aggregation tree (SAT) is proposed to detect and prevent cheating in large-scale wireless sensor networks and does not require any cryptographic operations when all sensor nodes work honestly.
Secure and Reliable Data Aggregation for Wireless Sensor Networks
TLDR
Simulation results show that the proposed protocol improves the security and reliability of aggregated data significantly.
An application-specific protocol architecture for wireless microsensor networks
TLDR
This work develops and analyzes low-energy adaptive clustering hierarchy (LEACH), a protocol architecture for microsensor networks that combines the ideas of energy-efficient cluster-based routing and media access together with application-specific data aggregation to achieve good performance in terms of system lifetime, latency, and application-perceived quality.
PEGASIS: Power-efficient gathering in sensor information systems
TLDR
PEGASIS (power-efficient gathering in sensor information systems), a near optimal chain-based protocol that is an improvement over LEACH, is proposed, where each node communicates only with a close neighbor and takes turns transmitting to the base station, thus reducing the amount of energy spent per round.
A witness-based approach for data fusion assurance in wireless sensor networks
TLDR
A witness-based solution to assure the validation of the data sent from data fusion nodes to the base station is proposed and the theoretical analysis for the overhead associated with the mechanism indicates that even in an extremely harsh environment the overhead is low for the proposed mechanism.
ESPDA: Energy-efficient and Secure Pattern-based Data Aggregation for wireless sensor networks
TLDR
Simulations results show that as data redundancy increases, the amount of data transmitted from sensor nodes to cluster-head decreases up to 45% when compared to conventional algorithms.
...
1
2
3
...