A Distributed Political Coalition Formation Framework for Multi-Relay Selection in Cooperative Wireless Networks

Bahbahani, Mohammed S.; Baidas, Mohammed W.; Alsusa, Emad

doi:10.1109/twc.2015.2461619

Cited by 21 publications

(15 citation statements)

References 24 publications

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“…The average distance between CH nodes to their member nodes and the average distance between CHs to the base station is given by equations (11) and (12), respectively:…”

Section: 1mentioning

confidence: 99%

“…However, WSN performance is degraded from considerable constraints such as limited storage capability, nonrechargeable and lean batteries, limited computational capability, and low security. Power consumption in a WSN depends deeply upon applications [11][12][13]. These networks are intermittently installed in an inhospitable environment where an individual cannot restore the power unit of a sensor node.…”

Section: Introductionmentioning

confidence: 99%

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Energy-Efficient QoS-Aware Intelligent Hybrid Clustered Routing Protocol for Wireless Sensor Networks

Singh

2019

Journal of Sensors

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A wireless sensor network consists of numerous low-power microsensor devices that can be deployed in a geographical area for remote sensing, surveillance, control, and monitoring applications. The advancements of wireless devices in terms of userfriendly interface, size, and deployment cost have given rise to many smart applications of wireless sensor networks (WSNs). However, certain issues like energy efficiency, long lifetime, and communication reliability restrict their large scale utilization. In WSNs, the cluster-based routing protocols assist nodes to collect, aggregate, and forward sensed data from event regions towards the sink node through minimum cost links. A clustering method helps to improve data transmission efficiency by dividing the sensor nodes into small groups. However, improper cluster head (CH) selection may affect the network lifetime, average network energy, and other quality of service (QoS) parameters. In this paper, a multiobjective clustering strategy is proposed to optimize the energy consumption, network lifetime, network throughput, and network delay. A fitness function has been formulated for heterogenous and homogenous wireless sensor networks. This fitness function is utilized to select an optimum CH for energy minimization and load balancing of cluster heads. A new hybrid clustered routing protocol is proposed based on fitness function. The simulation results conclude that the proposed protocol achieves better efficiency in increasing the network lifetime by 63%, 26%, and 10% compared with three well-known heterogeneous protocols: DEEC, EDDEEC, and ATEER, respectively. The proposed strategy also attains better network stability than a homogenous LEACH protocol.

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“…The average distance between CH nodes to their member nodes and the average distance between CHs to the base station is given by equations (11) and (12), respectively:…”

Section: 1mentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Energy-Efficient QoS-Aware Intelligent Hybrid Clustered Routing Protocol for Wireless Sensor Networks

Singh

2019

Journal of Sensors

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“…Specifically, multi-hop and data aggregation, implemented through clustering, can provide energy savings at the network layer [3], whereas a periodic wake-up and sleep strategy at the MAC layer can extend the network lifetime for a certain QoS requirement as shown in [4]. Cooperative transmission at the physical layer utilizes the energy wasted in broadcast transmission by creating multiple independent paths between a source and a destination node to improve the channel capacity [5]. Despite the improvements offered by these schemes, nodes eventually die after their energies have been exhausted.…”

Section: Introductionmentioning

confidence: 99%

A Cooperative Clustering Protocol With Duty Cycling for Energy Harvesting Enabled Wireless Sensor Networks

Bahbahani

Alsusa

2018

IEEE Trans. Wireless Commun.

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Abstract-This paper proposes a cooperative clustering protocol based on the low energy adaptive clustering hierarchy (LEACH) approach to enhance the longevity of energy harvesting based wireless sensor networks (EH-WSN). In the proposed protocol, to ensure that any energy consumption associated with the role of the cluster head (CH) is shared between the nodes, the CH role is alternated between the nodes using duty cycling as a function of their individual energy harvesting capabilities. Furthermore, to maintain an energy neutral operation when not acting as a CH, the nodes adopt a data transmission duty cycle and any excess energy is invested in relaying other nodes' packets. To optimize the relaying performance, a novel crosslayer cooperative TDMA scheme is also presented. The optimal number of clusters in an EH-WSN is analyzed in terms of energy consumption, latency and bandwidth utilization. Simulations, performed using GreenCastalia, demonstrate tangible performance enhancements in adopting the proposed protocol over benchmark schemes in terms of throughput and lifetime, particularly under highly constrained energy conditions.

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“…A coalition strength based game theoretic approach is considered for relay selection leading to some useful insights on selection criteria in a multi-relay environment [5]. Performance of the DF strategy with best-relay is investigated [6], where the selected relay is the one with the highest signal-to-noise (SNR).…”

Section: Introductionmentioning

confidence: 99%

Decode-to-cooperate: a sequential alamouti-coded cooperation strategy in dual-hop wireless relay networks

et al. 2016

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An optimal cooperation strategy, decode-tocooperate, is proposed and investigated for performance improvements in dual-hop wireless relay networks. Based on decode-and-forward (DF) strategy with multiple relay selection, we design a novel scheme such that the source node keeps transmitting sequentially and the selected relays cooperate by transmitting the decoded signal using distributed Alamouti coding. We exploit the multipath propagation effect of the wireless channel to achieve lower probability of error and introduce optimum power allocation and relay positioning. We analyze the scenario when the source to destination direct link is not available and derive a closed form expression for symbol error rate (SER), its upper bound and an asymptotically tight approximation to exploit the performance gain by selecting the optimum relays in a multiple-relay cooperation scheme. Moreover, asymptotic optimum power allocation (based on the SER approximation) and optimal relay positioning are also considered to further improve the SER. The proposed relay selection scheme outperforms cooperative (DF) and non-cooperative schemes by more than 2 dB.

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A Distributed Political Coalition Formation Framework for Multi-Relay Selection in Cooperative Wireless Networks

Cited by 21 publications

References 24 publications

Energy-Efficient QoS-Aware Intelligent Hybrid Clustered Routing Protocol for Wireless Sensor Networks

Energy-Efficient QoS-Aware Intelligent Hybrid Clustered Routing Protocol for Wireless Sensor Networks

A Cooperative Clustering Protocol With Duty Cycling for Energy Harvesting Enabled Wireless Sensor Networks

Decode-to-cooperate: a sequential alamouti-coded cooperation strategy in dual-hop wireless relay networks

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