CAM: Congestion Avoidance and Mitigation in Wireless Sensor Networks

Bhuiyan, Mohammad Masumuzzaman; Gondal, Iqbal

doi:10.1109/vetecs.2010.5494190

Cited by 10 publications

(5 citation statements)

References 12 publications

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“…For diminishing, the packet production rate of critical nodes, an effective precision by speed adjustment protocol called congestion avoidance and mitigation protocol (CAM) [19] is utilized. To find the congestion occurred at every node, relative attainment rate (RAR) is calculated.…”

Section: Methodsmentioning

confidence: 99%

Congestion Detection and Mitigation Technique for Multi-Hop Communication in WSN

Krishna,

Mohammad,

Gangadhar

et al. 2023

IJRITCC

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The primary function of a network system is to gather information from the observation region and transmit it to the base station. The network life span and congestion are the two major concerns in wireless networks. To enhance the lifespan of the sensor system; multi-hopping has been proved as best in class. Congestion is an important factor to be taken, where multiple nodes forward data to one another in the process of communication. Hence to overcome the issue of congestion in WSN, we proposed a congestion detection and mitigation method along with the multi-hop concept. In this technique, we have considered different routes among communication units that were classified on distance, relative attainment rate (RAR) and node storage occupancy. A utility function (U) has been proposed and calculated using the above illustrated factors for every node that acts as a neighbour to the transmitting node. Neighbour node with highest U-valued will be considered as the packet forwarding node's next hop. In this manner congestion free nodes are selected for data transmission.

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Section: Methodsmentioning

confidence: 99%

Congestion Detection and Mitigation Technique for Multi-Hop Communication in WSN

Krishna,

Mohammad,

Gangadhar

et al. 2023

IJRITCC

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“…The congestion problem is more thoroughly investigated in [10], a strategy is proposed that uses relative success ratio (RSR) value-the ratio of the number of packets transmitted from MAC layer to the number of packets forwarded by network layer to determine the congestion level at other nodes. This value is broadcast periodically by a node informing others regarding its congestion state.…”

Section: B Congestion Control Techniques For Terrestrial Sensor Netwmentioning

confidence: 99%

Performance evaluation of congestion-aware routing protocols for underwater sensor networks with multimedia data

Jain

Pilli

Govil

et al. 2015

2015 IEEE Underwater Technology (UT)

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Performance advancementsin acoustic communication technology have fostered to provide technical platform for numerous interdisciplinary applications ranging from bathymetry, hydrographic surveys, disaster prevention, to tactical surveillance over underwater sensor networks (UWSN). Supporting real-time data transmission over error-prone UWSN is increasingly important as these networks become more widely deployed. Existing UWSN routing protocols caters the requirements of non-real time applications where as delay sensitive applications requires solutions that can improve efficiency and reliability, often dynamically throughout the event detection and data transmission session. Congestion control is vital to achieve a high throughput and a long network lifetime. In particular, it is important for a routing protocol to provide congestion control by incorporating metrics like throughput, delay, packet loss ratio, etc. This paper presents a comparative analysis of UWSN routing protocols over real time multimedia data, using H.265/HEVC encoded video sequences. The aim of this study is to extend the in-built support in UWSN routing protocols for transmission of real time data traffic. The applicability of congestion control protocols in UW framework has been explored and the performance characteristics of the protocols have been studied under different multimedia load conditions with varying mobility. This methodology has been illustrated using the case studies in the military and ocean monitoring domains.

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“…The main objective of CODAR is to improve reliability and the timeliness of the data transmitted by critical nodes through congestion avoidance and mitigation [10,11]. The CODAR protocols classify the sensor nodes into two categories the critical nodes, that is the nodes closer to the event and the regular nodes, i.e., when there is no event sensing occurs the critical nodes become regular nodes.…”

Section: Congestion and Delay Aware Routing (Codar) Protocolmentioning

confidence: 99%

A Survey on Event Detection and Transmission Protocols in an Event Driven Wireless Sensor Network

C¹,

Terence²

2012

IJCA

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The most important goal of Event Driven Wireless Sensor Network (EDWSN) is to detect an event and pass this detected event to the users. Accurate event detection and fast event transmission play vital role in event detection. Many researchers have been proposed various techniques to detect events in an EDWSN. This paper describes a survey on event detection and event transmission protocols in an Event Driven Wireless Sensor Networks. We have classified these protocols into mainly two categories namely Sink Centric Event Detection and Transmission Protocols (SCEDTPs) and Node Centric Event Detection and Transmission Protocols (NCEDTPs). Then, these protocols are further classified into three categories under the constraints reliability, congestion resolution and energy efficiency. The advantages and disadvantages of each protocol also studied and we made the comparison of each protocol with different constraints.

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CAM: Congestion Avoidance and Mitigation in Wireless Sensor Networks

Cited by 10 publications

References 12 publications

Congestion Detection and Mitigation Technique for Multi-Hop Communication in WSN

Congestion Detection and Mitigation Technique for Multi-Hop Communication in WSN

Performance evaluation of congestion-aware routing protocols for underwater sensor networks with multimedia data

A Survey on Event Detection and Transmission Protocols in an Event Driven Wireless Sensor Network

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