Priority based AODV routing protocol for critical data in Wireless Body Area Network

Ambigavathi, M.; Sridharan, D.

doi:10.1109/icscn.2015.7219885

Cited by 18 publications

(11 citation statements)

References 8 publications

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“…The work in Ref. [91] put forward a new priority queuing algorithm in Ad hoc On-demand Distance Vector (AODV) routing protocol which sorts different traffic flows based on key data to ensure that important information has high priority. The work in Ref.…”

Section: Applications Of Iomt-based Disaster Rescuer Health Monitomentioning

confidence: 99%

Health Monitoring Based on Internet of Medical Things: Architecture, Enabling Technologies, and Applications

et al. 2020

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Recently, wearable devices have got increasing popularity in wide applications in medical and disaster rescue efforts to ensure the health and safety of users, which facilitates the development of the Internet of Medical Things (IoMT). Due to the posture alteration and mobility of users, the topology of the IoMT changes frequently, which increases the difficulty for resource allocation and routing strategy. In this paper, we respectively probe into the health monitoring architectures of the IoMT for both individual and group, allowing the monitored users to move at will. Furtherly, combined with the diversity of disaster rescuers, we build an IoMT-based disaster rescuer health monitoring system with searchers, doctors and porters. For each application, we point out the enabling technologies and demonstrate the existing researches. It is worth noting that the complexity of environment and high mobility of rescuers increase the probability of route breakage. Thus, this paper creatively addresses effective routing repair solutions for route breakage in IoMT-based disaster rescuer health monitoring system by exploiting the mobility of rescuers. Finally, we forecast three most likely directions in the field of IoMTs. INDEX TERMS IoMT, health monitoring, individual, group, disaster rescuer.

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Section: Applications Of Iomt-based Disaster Rescuer Health Monitomentioning

confidence: 99%

Health Monitoring Based on Internet of Medical Things: Architecture, Enabling Technologies, and Applications

et al. 2020

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“…Critical (have low threshold values for instance, low heartbeat) and reliability sensitive (have high threshold values, for instance, high heartbeat) are emergency data packets. While non-critical and delay sensitive data packets (have normal data for instance, glucose and temperature reading) are non-emergency data packets [11], [18]. In MAC superframe, different slots are allocated to all categories of the data packets.…”

Section: Related Workmentioning

confidence: 99%

“…The high number of retransmission and collision degrade the performance, throughput, lifetime of the network and consumes a high amount of energy. Furthermore, some of the priority-aware protocols designed for the network layer [11], [18]- [20]. In the network layer, the priority queue algorithm is used for data categorization.…”

Section: Introductionmentioning

confidence: 99%

LLTP-QoS: Low Latency Traffic Prioritization and QoS-Aware Routing in Wireless Body Sensor Networks

et al. 2019

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Wireless Body Sensor Network (WBSN) is deployed in delay-sensitive application scenarios where providing Quality-of-Service (QoS) is utmost important. The QoS-aware routing protocol not only discovers a route from source to destination but also satisfies QoS requirements in heavily loaded wireless networks. Emergency / critical data packets must reach the intended destination without incurring significant delays and fulfill multiconstrained demands (reliability, delay, Packet Delivery Ratio (PDR)) of heterogeneous applications. Congestion occurs in heavy traffic situation when the incoming traffic load exceeds the capacity of transmission link, buffer overflows, packet collision, channel contention. Consequently, it impacts QoS in terms of packet loss, end-to-end delay and PDR. Moreover, the selection of poor links/routes may have detrimental impacts of the performance of WBSN and there can be significant variations in throughput, delay, network lifetime, route stability performance. Majority of the existing priority-aware routing protocols proposed for Medium Access Control (MAC) layer to solve the slot allocation problem by which data packets are classified into different categories. However, less attention has been given to traffic prioritization at network layer for data categorization. Furthermore, optimized traffic prioritization has been overlooked, thereby increases the data redundancy, queue/link delay, data loss and decreases the reliability of the network, and it does not satisfy the QoS requirements of WBSN and affects the critical data to be delivered in a less privileged manner. This work proposes the Low Latency Traffic Prioritization scheme for QoS-aware routing (LLTP-QoS). The LLTP-QoS is designed to enhance the transmission of critical data in a privileged manner (reliability) and avoids the end-to-end delay. The performance of proposed scheme is evaluated in terms of throughput, average end-to-end delay, PDR, normalized routing load, network lifetime through extensive simulations using Network Simulator-2 (NS2). The simulation results verified improved performance of proposed LLTP-QoS scheme as compared to existing routing protocols. INDEX TERMS Wireless body sensor networks, physiological data, QoS, data traffic, priority queue, packet delivery ratio, latency.

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“…Based on the priority of data in the queue the packets will be selected for data transmission. Using this modified algorithm the destination will receive the emergency, critical or on demand data in less time period [6].…”

Section: Related Workmentioning

confidence: 99%

Study on Improving the Network Life Time Maximazation for Wireless Sensor Network using Cross Layer Approach

Bhandari

Rajasekhar

2016

IJECE

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<p>In recent the espousal of Wireless Sensor Networks has been broadly augmented in numerous divisions. Battery operated Sensor nodes in the wireless network accomplish main task of capturing and responding to the surroundings. The lifetime of the network depends on the energy consumption of the sensor nodes. This paper contributes the survey on how the energy consumption should be managed for maximizing the life time of network and how to improve the efficiency of Network by using Cross layer architecture. The traditional MAC Layer, Network Layer & Transport for WLAN having their own downsides just by modifying those we can achieve the network life time maximization goal. This paper represents analytical study for Energy efficiency by modifying Scheduling algorithm, by modifying traditional AODV routing algorithm for efficient packet transmission and by effectively using TCP for End to End Delivery of Data.</p>

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Priority based AODV routing protocol for critical data in Wireless Body Area Network

Cited by 18 publications

References 8 publications

Health Monitoring Based on Internet of Medical Things: Architecture, Enabling Technologies, and Applications

Health Monitoring Based on Internet of Medical Things: Architecture, Enabling Technologies, and Applications

LLTP-QoS: Low Latency Traffic Prioritization and QoS-Aware Routing in Wireless Body Sensor Networks

Study on Improving the Network Life Time Maximazation for Wireless Sensor Network using Cross Layer Approach

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