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Proceedings ArticleDOI

Energy efficiency in wireless sensor network using Fuzzy rule and tree based routing protocol

TLDR
A Fuzzy rule based General Self-Organized Tree-Based Energy-Balance routing protocol (FGSTEB) which is based on the GSTEB is proposed to improve the performance of GSTEB protocols by balancing energy consumption which prolonging the lifetime of WSN.
Abstract
As the wireless sensor network (WSN) is consider, it is the huge network of low-cost micro sensors deploy in the environment. The main challenge in the design of WSN is to improve the lifetime of the network. Various activities are done in the sensor node which consumes lots of energy due to which there is a need to save energy of node. The battery of the node is difficult to recharge in wireless scenarios, due to this problem the energy efficient routing is used to solve these problems. To achieve the aim, we need not only to minimize total energy consumption along with this balance therouting loading WSN. Researchers have proposed many protocols such as LEACH, HEED, PEGASIS, TBC and PEDAP. We are proposing a Fuzzy rule based General Self-Organized Tree-Based Energy-Balance routing protocol (FGSTEB) which is based on the GSTEB, in this work we builds a routing tree for data transmission by selecting the appropriate routing path and relay node using fuzzy rules, fuzzy rules finds relaying node depending on their residual energy and the load on the node. Due to the dynamic nature of the FGSTEB protocol and performs the simulation according to different parameter in consideration. The main goal of the work is to improve the performance of GSTEB protocols by balancing energy consumption which prolonging the lifetime of WSN.

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Citations
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Journal ArticleDOI

Millimeter-Wave Communication for Internet of Vehicles: Status, Challenges, and Perspectives

TL;DR: An in-depth survey of the existing research, published in the last decade, and the applications of mmWave communications in vehicular communications are described, which focus on MAC and physical layers and discuss related issues.
Journal ArticleDOI

Modified Floyd–Warshall’s Algorithm for Maximum Connectivity in Wireless Sensor Networks under Uncertainty

TL;DR: The main objective of this paper is to find the duration of maximum time connectivity of sensor nodes under uncertainty utilizing the prespecified voltage/power of each sensor node, utilizing triangular fuzzy numbers to express unpredictability.
Proceedings ArticleDOI

Efficient Energy and Delay Clustering Protocol for Wireless Sensor Network (WSN)

TL;DR: This work has proposed a clustering scheme which allows data transmission from sensor nodes to the base station (BS) in reasonable delay and also ensure energy efficiency.
References
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Proceedings ArticleDOI

Energy-efficient communication protocol for wireless microsensor networks

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.

Energy-efficient communication protocols for wireless microsensor networks

TL;DR: LEACH (Low-Energy Adaptive Clustering Hierarchy), 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, is proposed.
Journal ArticleDOI

HEED: a hybrid, energy-efficient, distributed clustering approach for ad hoc sensor networks

TL;DR: It is proved that, with appropriate bounds on node density and intracluster and intercluster transmission ranges, HEED can asymptotically almost surely guarantee connectivity of clustered networks.
Proceedings ArticleDOI

TEEN: a routing protocol for enhanced efficiency in wireless sensor networks

TL;DR: This paper proposes a formal classification of sensor networks, based on their mode of functioning, as proactive and reactive networks, and introduces a new energy efficient protocol, TEEN (Threshold sensitive Energy Efficient sensor Network protocol) for reactive networks.
Proceedings ArticleDOI

Distributed clustering in ad-hoc sensor networks: a hybrid, energy-efficient approach

TL;DR: A protocol is presented, HEED (hybrid energy-efficient distributed clustering), that periodically selects cluster heads according to a hybrid of their residual energy and a secondary parameter, such as node proximity to its neighbors or node degree, which outperforms weight-based clustering protocols in terms of several cluster characteristics.
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