Optimizing communication costs based on novel cooperative localization techniques using coalitional game theory in wireless networks

Hedhly, Kaouther; Laaraiedh, Mohamed; Abdelkefi, Fatma; Siala, Mohamed

doi:10.1109/iwcmc.2018.8450409

Cited by 3 publications

(5 citation statements)

References 7 publications

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“…Each anchor broadcast its location; (5) Each agent calculates its fitness u k ; (6) Exchange the message with its neighboring agents for forming a coalition; (7) e neighboring agents calculates their fitness u j ; (8) if iteration ≥ 2 then (9) Calculate each agent the change rate ρ k(i,j) and the evolution of coalition preference _ q k,i (10) Update the coalition F k (11) When the coalition F k is stability, the k agent has an accuracy location; (12) e k agent broadcasts its belief ( 13) end ( 14) end (15) until Iteration � Niter or all coalitions are stability; ALGORITHM 2: Link selection mechanism-based EOC game. 4…”

Section: Evolutionary Overlapping Coalitional Gamementioning

confidence: 99%

“…However, the relevant work does not consider a targeted algorithm to select agents. In recent years, game theory is a typical approach to the link selection problem in distributed cooperative localization [10][11][12]. It is employed to analyze complex interactions among players.…”

Section: Introductionmentioning

confidence: 99%

“…It is employed to analyze complex interactions among players. In [11], the link selection algorithm based on coalitional game is exploited to achieve a tradeoff between localization accuracy and network consumption which includes communication costs and computing resource consumption. Furthermore, opportunistic cooperative localization based on the overlapping coalition formation (OCF) game is able to determine the most informative agents to exchange information [12].…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Evolutionary Overlapping Coalitional Game-Based Link Selection for Distributed Cooperative Localization in Mobile Networks

Yin

Zou

Zhang

et al. 2022

Wireless Communications and Mobile Computing

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With the increasing application of Internet of Things (IoT), the localization of IoT devices has been widely used. The distributed cooperative localization is expected to be applied in a large-scale dynamic network, such as IoT. It is located through the exchange of information among multiple nodes. For a large amount of battery-based users, the high-computational complexity and heavy communication overhead will lead to huge energy consumption. In this paper, we propose a link selection algorithm based on the evolutionary overlapping coalitional (EOC) game to mitigate the energy consumption for distributed cooperative localization in the dynamic network. The equivalent Fisher information matrix (EFIM) and the Cramér–Rao lower bound (CRLB) are employed to keep location accuracy. Numerical results verify that the distributed cooperative localization based on the EOC game achieves lower energy consumption while keeping localization accuracy in the dynamic networks.

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Section: Evolutionary Overlapping Coalitional Gamementioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Evolutionary Overlapping Coalitional Game-Based Link Selection for Distributed Cooperative Localization in Mobile Networks

Yin

Zou

Zhang

et al. 2022

Wireless Communications and Mobile Computing

View full text Add to dashboard Cite

show abstract

“…In [16], the authors propose a network formation game for cooperative localization to reduce computational complexity and resultant network traffic. Similarly, the coalition game, a typical static game theory, is widely implemented for cooperative localization [17]. In addition to that, the most informative agents to exchange information is determined with opportunistic cooperative localization-based overlapping coalition game [18][19].…”

Section: Introductionmentioning

confidence: 99%

Evolutionary Coalitional Game Based Cooperative Localization in Vehicular Network

Yin¹,

Zou²,

Lu³

et al. 2022

Preprint

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Cooperative localization under complex urban environments has become a solution to replace the Global Navigation Satellite System (GNSS) positioning. Due to utilizing distance measured and information exchanged between vehicles, cooperative localization results in high computational complexity and heavy communication overhead. This paper proposes a cooperative localization method based on evolutionary coalitional game theory, which implements vehicles' location estimation with less communication cost. We select the neighboring vehicles to form a coalition based on the node's square position error bound and communication cost. The location is obtained via exchanging information between vehicles. It is evident from the simulations and results that the proposed method holds low communication overhead while maintaining localization accuracy.

show abstract

“…In [16], the authors propose a network formation game for cooperative localization to reduce the computational complexity and resultant network traffic. Similarly, the coalition game, a typical static game theory, is widely implemented for cooperative localization [17]. In addition to that, the most informative agents for exchanging information are determined with the opportunistic cooperative localization-based overlapping coalition formation (OCF) game [18,19].…”

Section: Introductionmentioning

confidence: 99%

Evolutionary Coalitional Game-Based Cooperative Localization in Vehicular Networks

Yin

Zou

et al. 2022

Electronics

View full text Add to dashboard Cite

Cooperative localization under complex urban environments has become a solution able to replace Global Navigation Satellite System (GNSS) positioning. Due to the lack of an efficient cooperative localization scheme, traditional cooperative vehicle networks result in high computational complexity and heavy communication overhead. In this paper, we concentrate on the cooperative localization design of a vehicle. This paper proposes a cooperative localization method based on evolutionary coalitional game theory to implement vehicle location estimation with a lower communication cost. We select the neighboring vehicles to form a coalition based on the node’s square position error bound and communication cost. The location is obtained via exchanging information between vehicles. It is evident from the simulations and results that the proposed method requires a low communication overhead while maintaining localization accuracy.

show abstract

Optimizing communication costs based on novel cooperative localization techniques using coalitional game theory in wireless networks

Cited by 3 publications

References 7 publications

Evolutionary Overlapping Coalitional Game-Based Link Selection for Distributed Cooperative Localization in Mobile Networks

Evolutionary Overlapping Coalitional Game-Based Link Selection for Distributed Cooperative Localization in Mobile Networks

Evolutionary Coalitional Game Based Cooperative Localization in Vehicular Network

Evolutionary Coalitional Game-Based Cooperative Localization in Vehicular Networks

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