CDMA: principles of spread spectrum communication
CDMA: principles of spread spectrum communication
Introduction to algorithms
Wireless Communications: Principles and Practice
Wireless Communications: Principles and Practice
Data Gathering Algorithms in Sensor Networks Using Energy Metrics
IEEE Transactions on Parallel and Distributed Systems
Data Gathering in SEnsor Networks using the Energy Delay Metric
IPDPS '01 Proceedings of the 15th International Parallel & Distributed Processing Symposium
Energy-Efficient Communication Protocol for Wireless Microsensor Networks
HICSS '00 Proceedings of the 33rd Hawaii International Conference on System Sciences-Volume 8 - Volume 8
An Algorithm to Determine the Sequence of Stable Connected Dominating Sets in Mobile Ad Hoc Networks
AICT-ICIW '06 Proceedings of the Advanced Int'l Conference on Telecommunications and Int'l Conference on Internet and Web Applications and Services
International Journal of Interdisciplinary Telecommunications and Networking
Maximum stability data gathering trees for mobile sensor networks
International Journal of Mobile Network Design and Innovation
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Wireless sensor networks comprise of vast numbers of sensor nodes deployed to monitor a particular event fire, intrusion, etc. or measure a parameter like temperature, pressure value representative of the physical condition of the ambient environment. There is a growing need of using energy-efficient data gathering algorithms that can effectively aggregate the monitored/measured data from the individual sensor nodes through a properly constructed communication topology and transmit a single representative data to a control center sink that is typically located far away from the network field. In order to maximize node lifetime and be fair to all nodes in the network, such a communication topology has to be dynamically constructed for every round of data gathering by taking into consideration available energy levels of sensor nodes. This paper presents a comprehensive description of two broad categories of data gathering algorithms for wireless sensor networks-the classical algorithms that are not energy-aware and modern energy-aware data gathering algorithms. These algorithms can also be classified based on the communication topology they choose to construct and use for data gathering. The authors also present an extensive simulation study that demonstrates the individual as well as the comparative performance of these data gathering algorithms.