Energy-efficient data gathering protocol in unequal clustered WSN utilizing fuzzy multiple criteria decision making-Reference-Cited by-同舟云学术

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Energy-efficient data gathering protocol in unequal clustered WSN utilizing fuzzy multiple criteria decision making

Published:2017-04-24 Issue:5 Volume:32 Page:3461-3473
ISSN:1064-1246
Container-title:Journal of Intelligent & Fuzzy Systems
language:
Short-container-title:IFS

Author:

Song Xiaoying¹,Zhang Qilong¹,Sun Wei²,Wei Wei³

Affiliation:

1. Software Center, Northeastern University, Shenyang, China

2. Department of Computer Science and Technology, Neusoft Information Institute, Dalian, Liaoning, China

3. Department of Computer Science, University of Texas at Dallas, Richardson, TX, USA

Publisher

IOS Press

Subject

Artificial Intelligence,General Engineering,Statistics and Probability

Reference30 articles.

1. Reliability in wireless sensor networks: A survey and challenges ahead;Mahmood;Computer Networks,2015

2. EDAL: An energy-efficient, delay-aware, and lifetime-balancing data collection protocol for heterogeneous wireless sensor networks;Yao;IEEE/ACM Transactions on Networking,2015

3. An unequal multi-hop balanced immune clustering protocol for wireless sensor networks;Sabor;Applied Soft Computing,2016

4. Theoretical analysis of the lifetime and energy hole in cluster based wireless sensor networks;Liu;Journal of Parallel and Distributed Computing,2011

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1. An Energy Saving Strategy of WSNs Based on Data Sensing and Similarity;Wireless Personal Communications;2023-06-17

2. Energy-Efficient Routing Protocol for Selecting Relay Nodes in Underwater Sensor Networks Based on Fuzzy Analytical Hierarchy Process;Sensors;2022-11-18

3. A Dynamic Hierarchical Clustering Data Gathering Algorithm Based on Multiple Criteria Decision Making for 3D Underwater Sensor Networks;Complexity;2020-10-21

4. Efficient Routing Approach Using a Collaborative Strategy;Journal of Sensors;2020-02-25

5. Energy–efficient grid–based routing algorithm using intelligent fuzzy rules for wireless sensor networks;Computers & Electrical Engineering;2018-05

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