Transmission Power Control in Virtual MIMO Wireless Sensor Network Using Game Theoretic Approach

Valli, R.; Dananjayan, P.

doi:10.1007/978-3-642-17878-8_54

Cited by 4 publications

(4 citation statements)

References 9 publications

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“…Cooperative game theory has been used to solve power control issue in Reference 42. Incomplete information game has been used in Reference 43 to achieve power control in WSN.…”

Section: Background Work and Motivationmentioning

confidence: 99%

Game theoretic application for energy efficient mobility handling in wireless sensor network

Maheshwari

Sharma

Verma

2020

Trans Emerging Tel Tech

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Wireless sensor network (WSN) are used to sense, process, and send important information relating to surrounding environment. In these network, one of the important issue is timely delivery of packets to destination and thus avoiding packet loss when sensor nodes are mobile. Most of the current research does not allow handling of packets of mobile sensor nodes till next Time‐division multiple access (TDMA) schedule. In this work, we investigate the problem of allocating reserved slots to mobile nodes which come in vicinity of new cluster head in currenTDMAschedule only. We model allocation of reserved slots to mobile nodes as cooperative game. We then propose cooperative coordination scheme to allow cooperation among mobile sensor nodes for accessing of reserved slots with the objective of avoiding unnecessary delay and packet loss in the network. We consider solution for both the cases when reserved slot is limited to 1 and when reserved slots are more than 1. We then propose evolutionary game theory‐based slot allocation scheme for calculation of probability by solving nash equilibrium point. This probability is used by mobile nodes to send data packets to new cluster head. Our scheme avoids end to end delay of packets and network congestion due to buffer overflows. We then present extensive simulation results comparing our scheme with existing techniques. The results show higher performance in terms of average residual energy, network lifetime and packet delivery ratio etc.

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“…Cooperative game theory has been used to solve power control issue in Reference 42. Incomplete information game has been used in Reference 43 to achieve power control in WSN.…”

Section: Background Work and Motivationmentioning

confidence: 99%

Game theoretic application for energy efficient mobility handling in wireless sensor network

Maheshwari

Sharma

Verma

2020

Trans Emerging Tel Tech

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“…The use of cognitive radio methods uses an energy detector to select the communication channel [ 116 ]. Similarly, Game theory techniques also use channel selection methods [ 138 , 139 ]. This reduces the probability of channel access collisions by overlay applications and services.…”

Section: Virtualization In Wsn and The Concept Of Overlay Networkmentioning

confidence: 99%

Overlay Virtualized Wireless Sensor Networks for Application in Industrial Internet of Things: A Review

Nkomo

Hancke

Abu‐Mahfouz

et al. 2018

Sensors

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In recent times, Wireless Sensor Networks (WSNs) are broadly applied in the Industrial Internet of Things (IIoT) in order to enhance the productivity and efficiency of existing and prospective manufacturing industries. In particular, an area of interest that concerns the use of WSNs in IIoT is the concept of sensor network virtualization and overlay networks. Both network virtualization and overlay networks are considered contemporary because they provide the capacity to create services and applications at the edge of existing virtual networks without changing the underlying infrastructure. This capability makes both network virtualization and overlay network services highly beneficial, particularly for the dynamic needs of IIoT based applications such as in smart industry applications, smart city, and smart home applications. Consequently, the study of both WSN virtualization and overlay networks has become highly patronized in the literature, leading to the growth and maturity of the research area. In line with this growth, this paper provides a review of the development made thus far concerning virtualized sensor networks, with emphasis on the application of overlay networks in IIoT. Principally, the process of virtualization in WSN is discussed along with its importance in IIoT applications. Different challenges in WSN are also presented along with possible solutions given by the use of virtualized WSNs. Further details are also presented concerning the use of overlay networks as the next step to supporting virtualization in shared sensor networks. Our discussion closes with an exposition of the existing challenges in the use of virtualized WSN for IIoT applications. In general, because overlay networks will be contributory to the future development and advancement of smart industrial and smart city applications, this review may be considered by researchers as a reference point for those particularly interested in the study of this growing field.

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“…For example, the most advanced convergence scenario is a fully connected M2M network that allows a single data flow to be routed through multiple M2M connections and all M2M devices can act at a time as cellular consumers as well as M2M communication providers. Table 2 [7,14,[33][34][35][36][37] shows a comparative framework of these nodes. A high system capacity is the major requirement for the evolution of 5G networks.…”

Section: Horizontal Evolutionmentioning

confidence: 99%

Evolution Toward 5G Mobile Networks – A Survey on Enabling Technologies

Saha

Saengudomlert

Aswakul

2016

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Abstract. In this paper, an extensive review has been carried out on the trends of existing as well as proposed potential enabling technologies that are expected to shape the fifth generation (5G) mobile wireless networks. Based on the classification of the trends, we develop a 5G network architectural evolution framework that comprises three evolutionary directions, namely, (1) radio access network node and performance enabler, (2) network control programming platform, and (3) backhaul network platform and synchronization. In (1), we discuss node classification including low power nodes in emerging machine-type communications, and network capacity enablers, e.g., millimeter wave communications and massive multiple-input multiple-output. In (2), both logically distributed cell/device-centric platforms, and logically centralized conventional/wireless software defined networking control programming approaches are discussed. In (3), backhaul networks and network synchronization are discussed. A comparative analysis for each direction as well as future evolutionary directions and challenges toward 5G networks are discussed. This survey will be helpful for further research exploitations and network operators for a smooth evolution of their existing networks toward 5G networks.

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Transmission Power Control in Virtual MIMO Wireless Sensor Network Using Game Theoretic Approach

Cited by 4 publications

References 9 publications

Game theoretic application for energy efficient mobility handling in wireless sensor network

Game theoretic application for energy efficient mobility handling in wireless sensor network

Overlay Virtualized Wireless Sensor Networks for Application in Industrial Internet of Things: A Review

Evolution Toward 5G Mobile Networks – A Survey on Enabling Technologies

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