Literature Database Entry

nabeel2019efficient

Muhammad Nabeel, Vishal Kumar Singh and Falko Dressler, "Efficient Data Gathering for Decentralized Diversity Combining in Heterogeneous Sensor Networks," Proceedings of IEEE Wireless Communications and Networking Conference (WCNC 2019), Marrakesh, Morocco, April 2019.

Abstract

We study reliable communication in heterogeneous sensor networks. In many application scenarios, more energy-constrained (mobile) nodes are distinguished from more powerful base stations (or ground nodes). Wildlife monitoring is just one of many examples within the Internet of Things research community. In order to improve the communication reliability (and, thus, also the energy footprint), these ground nodes often apply macro-diversity to reduce transmission failures and to avoid costly retransmissions. In recent years, the concept of using distributed sensor networks as antenna arrays for receive diversity has been proposed. We address one of the key challenges in such networks, which is the huge cost of forwarding signal samples to a (central) sink through the ground network, where diversity algorithms are eventually applied. In particular, we present two algorithms, a cluster and a tree based one, that help reducing the data transfers in the ground network. Ground nodes try applying diversity techniques early whenever they receive signal samples from multiple receivers. In extensive simulations, we show that the algorithms substantially outperform näive centralized solutions.

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Muhammad Nabeel
Vishal Kumar Singh
Falko Dressler

BibTeX reference

@inproceedings{nabeel2019efficient,
    author = {Nabeel, Muhammad and Singh, Vishal Kumar and Dressler, Falko},
    doi = {10.1109/WCNC.2019.8885669},
    title = {{Efficient Data Gathering for Decentralized Diversity Combining in Heterogeneous Sensor Networks}},
    publisher = {IEEE},
    address = {Marrakesh, Morocco},
    booktitle = {IEEE Wireless Communications and Networking Conference (WCNC 2019)},
    month = {4},
    year = {2019},
   }
   
   

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Last modified: 2024-04-18