QoS and Energy Aware Cooperative Routing Protocol for Wildfire Monitoring Wireless Sensor Networks

Maalej, Mohamed; Cherif, Sofiane; Besbes, Hichem

doi:10.1155/2013/437926

Cited by 30 publications

(22 citation statements)

References 6 publications

(9 reference statements)

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“…In [9], the author proposes cooperative communication routing protocol based on both energy consumption and QoS. The QoS is measured by absolute received signal strength indicator (RSSI).…”

Section: Related Workmentioning

confidence: 99%

Co-UWSN: Cooperative Energy-Efficient Protocol for Underwater WSNs

Ahmed

Javaid

Khan

et al. 2015

International Journal of Distributed Sensor Networks

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Sensor networks feature low-cost sensor devices with wireless network capability, limited transmit power, resource constraints, and limited battery energy. Cooperative routing exploits the broadcast nature of wireless medium and transmits cooperatively using nearby sensor nodes as relays. It is a promising technique that utilizes cooperative communication to improve the communication quality of single-antenna sensor nodes. In this paper, we propose a cooperative transmission scheme for underwater sensor networks (UWSNs) to enhance the network performance. Cooperative diversity has been introduced to combat fading. Cooperative UWSN (Co-UWSN) is proposed, which is a reliable, energy-efficient, and high throughput routing protocol for UWSN. Destination and potential relays are selected that utilize distance and signal-to-noise ratio computation of the channel conditions as cost functions. This contributes to sufficient decrease in path losses occurring in the links and transferring of data with much reduced path loss. Simulation results show that Co-UWSN protocol performs better in terms of end-to-end delay, energy consumption, and network lifetime. Selected protocols for comparison are energy-efficient depth-based routing (EEDBR), improved adaptive mobility of courier nodes in threshold-optimized depth-based routing (iAMCTD), cooperative routing protocol for UWSN, and cooperative partner node selection criteria for cooperative routing Coop (Re and dth).

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“…In [9], the author proposes cooperative communication routing protocol based on both energy consumption and QoS. The QoS is measured by absolute received signal strength indicator (RSSI).…”

Section: Related Workmentioning

confidence: 99%

Co-UWSN: Cooperative Energy-Efficient Protocol for Underwater WSNs

Ahmed

Javaid

Khan

et al. 2015

International Journal of Distributed Sensor Networks

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“…The Q-routing algorithms use reinforcement learning in order to learn the dynamic of the networks and their model. In Q-routing protocol, a node selects its next hop based on the QoS parameters and/or to improve network performance for example [8,9].…”

Section: B Q-routing Modelmentioning

confidence: 99%

“…According to [10], application of reinforcement learning in context of WSNs routing can be categorized as follow: Q-routing model [11][12][13] and multi-agent reinforcement learning [9,14].…”

Section: Q-routing Technique In the Context Of Wsnsmentioning

confidence: 99%

“…In [9] a co-operative learning protocol for monitoring wildfire is proposed. Although this protocol provides the QoS energyaware algorithm for sensor network it is not applicable in many applications.…”

Section: Q-routing Technique In the Context Of Wsnsmentioning

confidence: 99%

“…That is because QoS-AODV reserve networks resources in a route for the data stream. However, after a few time that EQR-RL, RL-QRP [13] and RSSI [9] learn the dynamics of the networks. Therefore, they perform way better.…”

Section: E Feature Of Eqr-rlmentioning

confidence: 99%

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Design of energy-aware QoS routing algorithm in wireless sensor networks using reinforcement learning

Jafarzadeh

Moghaddam

2014

2014 4th International Conference on Computer and Knowledge Engineering (ICCKE)

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Nowadays a major class of wireless sensor network (WSN) applications required a minimum quality of service parameters to be satisfied while the wireless sensor nodes might be mobile. Most of the standard WSN routing algorithms greedily choose the neighbor node with the best quality of service (QoS) parameter(s) as a next hop. However, the data packet might be able to be routed through other neighbors as it might require less QoS. So the energy of the neighbor node with the best QoS will deplete earlier than other nodes which will result in the reduction of network lifetime. Therefore, it is important for WSN QoS routing protocols to efficiently balance energy and other resources consumption throughout the network. In this paper, we proposed EQR-RL, energy-aware QoS routing protocol in WSNs using reinforcement learning. We compare the network performance of our proposed protocol with three other protocols (QoS-AODV, RSSI and RL-QRP). The packet delivery ratio, average end-to-end delay and impact of the different traffic load on average end-to-end delay are investigated. Simulation results indicate the superiority of our proposed protocol over two others by considering different network traffic load and node mobility in terms of average end-toend delay and packet delivery ratio.

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