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Proceedings ArticleDOI

Characterization of reliability in WSN

TLDR
This paper focuses on the existing transport protocols provide the entire requirement of transport protocol, the factors affecting the reliability and different ways to achieve reliability.
Abstract
A wireless sensor network (WSN) consists of spatially distributed autonomous sensors to monitor physical or environmental conditions, such as temperature, sound, pressure, etc. and to cooperatively pass their data through the network to a main location. In WSN the delivery of all sending packet is important so we called it as reliability. In transport layer reliable message delivery and congestion control are important factors. The aptitude of the network to ensure reliable data transmission in a state of continuous change of network structure. This paper focuses on the existing transport protocols provide the entire requirement of transport protocol, the factors affecting the reliability and different ways to achieve reliability.

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Citations
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Journal Article

RMST: Reliable Data Transport in Sensor Networks

TL;DR: In this article, Stann et al. present RMST (Reliable Multi-Segment Transport), a new transport layer for Directed Diffusion, which provides guaranteed delivery and fragmentation/reassembly for applications that require them.
Journal ArticleDOI

Machine Learning-Based Optimized Hierarchical Routing Protocols for WSN Lifetime: A Review

TL;DR: A review of recent techniques and a Machine Learning-based Optimized Hierarchical Routing Protocols for WSN Lifetime is presented and future directions related to the Optimized Clustering Approaches are recommended to enhance wsn lifetime.
Journal ArticleDOI

Evaluation of Energy Consumption using Receiver–Centric MAC Protocol in Wireless Sensor Networks

TL;DR: A novel approach based on Receiver Centric-MAC is implemented using NS2 simulator and provides high bandwidth without decreasing energy efficiency, and the author focuses on the following parametric measures like - energy consumption, reliability and bandwidth.

A Survey on Congestion Control at Transport Layer in Wireless Sensor Network

TL;DR: A comprehensive survey on congestion control schemes at transport layer in a wireless sensor network is presented and various protocols in each category have been discussed.
Proceedings ArticleDOI

Modeling of clustering and sectoring approach in WSN

TL;DR: Different hierarchical routing protocols in wireless sensor network are focused on for better communication with energy saving and improves reliability of an application or network.
References
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Proceedings ArticleDOI

CODA: congestion detection and avoidance in sensor networks

TL;DR: Simulation results indicate that CODA significantly improves the performance of data dissemination applications such as directed diffusion by mitigating hotspots, and reducing the energy tax with low fidelity penalty on sensing applications.
Journal Article

RMST: Reliable Data Transport in Sensor Networks

TL;DR: In this article, Stann et al. present RMST (Reliable Multi-Segment Transport), a new transport layer for Directed Diffusion, which provides guaranteed delivery and fragmentation/reassembly for applications that require them.
Proceedings ArticleDOI

Mitigating congestion in wireless sensor networks

TL;DR: Fusion, a combination of hop-by-hop flow control, rate limiting source traffic when transit traffic is present, and a prioritized medium access control (MAC) protocol, can improve network efficiency by a factor of three under realistic workloads.
Proceedings ArticleDOI

RMST: reliable data transport in sensor networks

TL;DR: RMST (Reliable Multi-Segment Transport), a new transport layer for Directed Diffusion, is presented, a selective NACK-based protocol that can be configured for in-network caching and repair.
Journal ArticleDOI

Event-to-sink reliable transport in wireless sensor networks

TL;DR: A new reliable transport scheme for WSN, the event-to-sink reliable transport (ESRT) protocol, is presented in this paper, a novel transport solution developed to achieve reliable event detection in WSN with minimum energy expenditure.
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