scholarly journals A Coalitional Graph Game Approach for Minimum Transmission Broadcast in IoT Networks

IEEE Access ◽  
2020 ◽  
Vol 8 ◽  
pp. 24385-24396
Author(s):  
Yu-Wei Chan ◽  
Feng-Tsun Chien ◽  
Min-Kuan Chang ◽  
Wei-Chun Ho ◽  
Jason C. Hung
Keyword(s):  
Author(s):  
Nenad Dedić ◽  
Mariusz Jakubowski ◽  
Ramarathnam Venkatesan
Keyword(s):  

10.37236/1174 ◽  
2012 ◽  
Vol 19 (1) ◽  
Author(s):  
József Balogh ◽  
András Pluhár

In this note we investigate a special form of degree games defined by D. Hefetz, M. Krivelevich, M. Stojaković and T. Szabó. Usually the board of a graph game is the edge set of $K_n$, the complete graph on $n$ vertices. Maker and Breaker alternately claim an edge, and Maker wins if his edges form a subgraph with prescribed properties; here a certain minimum degree. In the special form the board is no longer the whole edge set of $K_n$, Maker first selects as few edges of $K_n$ as possible in order to win, and our goal is to compute the necessary size of that board. Solving a question of Hefetz et al., we show, using the discharging method, that the sharp bound is around $10n/7$ for the positive minimum degree game.


2018 ◽  
Vol 34 (6) ◽  
pp. 1131-1145
Author(s):  
Jeremy Meza ◽  
Samuel Simon
Keyword(s):  

Author(s):  
Yulei Zhao ◽  
Yong Li ◽  
Zhiguo Ding ◽  
Ning Ge ◽  
H. Vincent Poor

2021 ◽  
Author(s):  
Siwapon Charoenchai ◽  
Peerapon Siripongwutikorn

Abstract Road traffic information can be collected over a vehicular ad-hoc network (VANET) and utilized in many intelligent traffic system applications. A clustering mechanism is used to create a cluster of vehicles to facilitate the data collection from vehicles to road side units (RSUs) acting as sink nodes. Unlike previous works that focus on cluster lifetime or throughput, we propose a coalitional graph game (CGG) technique to form a multi-hop cluster with a largest possible coverage area for a given transmission delay time constraint to economize on the number of RSUs. Vehicles decide to join or leave the coalition based on their individual utility that is a weighted function of number of members in the coalition, relative velocities, distance to sink nodes, and transmission delay toward the sink nodes. The stability of cluster formation is proved by using a discrete-time Markov chain. Our results show that the proposed game model always yields a stable coalition structure that satisfies the objective, and the solutions vary with the weights given to individual components in the utility function.


Author(s):  
Bing Du ◽  
Xiaomeng Di ◽  
Dingming Liu ◽  
Huansheng Ning

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