Journal Article10.1016/J.COMPELECENG.2014.09.001
A distributed fuzzy logic-based root selection algorithm for wireless sensor networks
TL;DR: A distributed fuzzy logic method with five input parameters namely, energy, centrality, distance to base station, number of hops and node density is proposed for efficient root election system that includes fault tolerance, load balance, timeliness and the scalability mechanisms.
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About: This article is published in Computers & Electrical Engineering. The article was published on 01 Jan 2015. The article focuses on the topics: Fuzzy logic & Distributed algorithm.
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Citations
Cluster-based routing protocols in wireless sensor networks: A survey based on methodology
TL;DR: This evaluation intends to propose a new approach for examining methods by considering the methodology-based parameters such as capabilities and constraints, examined inputs and outputs in each method, type of algorithm used in the methods, the purpose of using algorithms, etc.
226
Optimized Clustering Algorithms for Large Wireless Sensor Networks: A Review.
TL;DR: From the analysis, it is observed that centralized clustering solutions based on the Swarm Intelligence paradigm are more adapted for applications with low energy consumption, high data delivery rate, or high scalability than algorithmsbased on the other presented paradigms.
167
Strategies based on various aspects of clustering in wireless sensor networks using classical, optimization and machine learning techniques: Review, taxonomy, research findings, challenges and future directions
TL;DR: A brief review in the field of clustering in wireless sensor networks based on three different categories, such as classical, optimization, and machine learning techniques, including cluster head selection, routing protocols, reliability, security, and unequal clustering.
125
Fuzzy-Logic Based Distributed Energy-Efficient Clustering Algorithm for Wireless Sensor Networks.
TL;DR: An energy-efficient distributed clustering algorithm based on fuzzy approach with non-uniform distribution (EEDCF) is proposed, which is better than some current representative methods in aspects of data transmission, energy consumption and lifetime of networks.
99
A Fuzzy Logic Approach by Using Particle Swarm Optimization for Effective Energy Management in IWSNs
TL;DR: A fuzzy logic based mechanism is proposed that, according to the battery level and the ratio of throughput to workload, defines the sleeping time of sensor devices in an IWSN based on IEEE 802.15.4 protocol.
87
References
Energy-efficient communication protocol for wireless microsensor networks
Wendi Rabiner Heinzelman,Anantha P. Chandrakasan,Hari Balakrishnan +2 more
- 04 Jan 2000
TL;DR: The Low-Energy Adaptive Clustering Hierarchy (LEACH) as mentioned in this paper is a clustering-based protocol that utilizes randomized rotation of local cluster based station (cluster-heads) to evenly distribute the energy load among the sensors in the network.
Cluster-head election using fuzzy logic for wireless sensor networks
Indranil Gupta,D. Riordan,Srinivas Sampalli +2 more
- 16 May 2005
TL;DR: A fuzzy logic approach to cluster-head election is proposed based on three descriptors-energy, concentration and centrality and shows that depending upon network configuration, a substantial increase in network lifetime can be accomplished as compared to probabilistically selecting the nodes as cluster-heads using only local information.
CHEF: Cluster Head Election mechanism using Fuzzy logic in Wireless Sensor Networks
Jong-Myoung Kim,Seon-Ho Park,Young-Ju Han,Tai-Myoung Chung +3 more
- 22 Apr 2008
TL;DR: This paper introduces CHEF - cluster head election mechanism using fuzzy logic, and proves efficiency of CHEF compared with LEACH using the matlab, showing that CHEF is about 22.7% more efficient than LEACH.
533
An energy-aware distributed clustering protocol in wireless sensor networks using fuzzy logic
Hoda Taheri,Peyman Neamatollahi,O. Younis,Shahrzad Naghibzadeh,Mohammad Hossein Yaghmaee +4 more
- 01 Sep 2012
TL;DR: Simulation results demonstrate that the proposed ECPF performs better than well known protocols (LEACH, HEED, and CHEF) in terms of extending network lifetime and saving energy.
268
Energy-quality tradeoffs for target tracking in wireless sensor networks
Sundeep Pattem,Sameera Poduri,Bhaskar Krishnamachari +2 more
- 22 Apr 2003
TL;DR: It is shown that selective activation with a good prediction algorithm is a dominating strategy that can yield orders-of-magnitude energy savings with negligible difference in tracking quality and duty-cycled activation offers a flexible and dynamic tradeoff between energy expenditure and tracking error when used in conjunction with selective activation.