A Hierarchical Energy Efficient Reliable Transport Protocol for Wireless Sensor Networks

Mohanty, Prabhudutta; Kabat, Manas Ranjan

doi:10.1016/j.asej.2014.05.009

Cited by 19 publications

(9 citation statements)

References 22 publications

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“…Hierarchical Energy Efficient Reliable Transport Protocol (HEERTP) [81] is a hierarchical cluster based protocol, which reduces energy consumption during redundant data transport over a WSN and cluster head election. To address these problems, HEERTP protocol divides the network in clusters and elect cluster heads, which are responsible for collecting cluster's data and handle redundancy by aggregating redundant data.…”

Section: Hierarchy Basedmentioning

confidence: 99%

Energy Efficient Routing in Wireless Sensor Networks: A Comprehensive Survey

2020

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Wireless Sensor Networks (WSNs) are among the most emerging technologies, thanks to their great capabilities and their ever growing range of applications. However, the lifetime of WSNs is extremely restricted due to the delimited energy capacity of their sensor nodes. This is why energy conservation is considered as the most important research concern for WSNs. Radio communication is the utmost energy consuming function in a WSN. Thus, energy efficient routing is necessitated to save energy and thus prolong the lifetime of WSNs. For this reason, numerous protocols for energy efficient routing in WSNs have been proposed. This article offers an analytical and up to date survey on the protocols of this kind. The classic and modern protocols presented are categorized, depending on i) how the network is structured, ii) how data are exchanged, iii) whether location information is or not used, and iv) whether Quality of Service (QoS) or multiple paths are or not supported. In each distinct category, protocols are both described and compared in terms of specific performance metrics, while their advantages and disadvantages are discussed. Finally, the study findings are discussed, concluding remarks are drawn, and open research issues are indicated.

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Section: Hierarchy Basedmentioning

confidence: 99%

Energy Efficient Routing in Wireless Sensor Networks: A Comprehensive Survey

2020

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“…It uses hop-by-hop implicit acknowledgement for loss recovery and exploits a timeout scheme for packet retransmission to minimize the loss. EEHRTP (Energy Efficient Hierarchical Reliable Transport Protocol) [15] introduces implicit acknowledgement and proposes a timeout estimation to determine how long the node should wait for an acknowledgement. This protocol not only guarantees the reliable transmission, but also can maximize the network lifetime by controlling the redundant data transmission with the co-ordination of the base-station.…”

Section: Ertp (Energy-efficient and Reliability Transportmentioning

confidence: 99%

OAC: An optimized transmission scheme for flexible communication reliability in wireless sensor networks

Meng

Chen

Zhuansun

2013

2013 3rd International Conference on Consumer Electronics, Communications and Networks

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Due to the high packet loss rate during multi-hop transmissions in wireless sensor networks, a reliable end-to-end delivery scheme is desired. But, in some applications, there is no need of 100% communication reliability (CR). Active caching is a novel scheme which can satisfy the flexible CR. However, in this scheme, only caching nodes can detect missing packets, so the retransmission efficiency is low. In this paper, we propose a more efficient scheme named OAC (optimized active caching) which exploits the broadcasting nature of wireless communication to detect packet loss. The results based on simulation show that the proposed scheme has advantages in retransmission counts and time-delay. And thus energy is saved at the same time.Keywords-reliable transmission; packet loss detection; optimization; broadcasting nature; wireless sensor networks I. NTRODUCTION Wireless sensor networks (WSNs) could be comprised of hundreds of thousands of sensor nodes which consist of sensing, data processing and communicating components [1]. Because of the recent technological advances in micro electro-mechanical systems [2], WSNs have attracted extensive attention of business world and academic circles during the last ten years. There have been a lot of applications such as environment monitoring [3], localization system [4], home automation, automated assistance for the elderly [5] and so on. Within these applications, sensor nodes collect data of interested events from the surroundings and deliver them to the sink node which can communicate with the external network.Due to the high packet loss rate during multi-hop transmissions in wireless sensor networks, we need a reliable recovery mechanism to retransmit the lost packets between the sensor nodes and the sink. In conventional networks like the Internet, we have many transport layer protocols for use such as the TCP protocol. Although these protocols can provide the reliable end-to-end transmission, congestion and flow control, it is unsuited for sensor networks because of the specific requirements (such as high energy efficiency, low computation complexity of algorithms, data-centric and so on) and the extreme communication conditions that sensor networks exhibit [6]. Therefore, a reliable recovery method for WSNs is desired.The applications of WSNs are application-dependent and have different emphases on metrics. For instance, within monitoring applications, the reliability is the most important; for event detection, timeliness is crucial [7]. So, there is no need to consider 100% reliability in some applications. For example, in multimedia sensor networks, the traffic usually has high bandwidth demand and strict delay bounds. So, video streams can be within a certain level of distortion [5]. Besides, as we all know that, energy efficiency is the most important concern in the design of WSNs. A permissible level of loss tolerance can reduce the requirement of memory, lower the transmission numbers, and thus save the rare energy [8].So, in order to achieve various levels ...

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“…In [19], for that a sensor covers targets with certain probability, He et al introduce a failure probability, and design a heuristic greedy algorithm to solve α-reliable maximum sensor covers problem, and get the current active sensor cover where the sensors are responsible for monitoring, while all other sensors are in a low-energy sleep mode. In [20], Mohanty and Kabat present a hierarchical energy efficient reliable transport protocol, in which the co-ordination of BS will control the redundant data transmission to maximise the network lifetime, while using a hop-by-hop (HBH) acknowledgement scheme, which will achieve E2E reliability. In [21], Basile et al analyse reliability and energy consumption indicators for a system of (remotely Fig.…”

Section: Related Workmentioning

confidence: 99%