Vehicle sensor networks(VSN)play an increasingly important part in smart city,due to the interconnectivity of the infrastructure.However similar to other wireless communications,vehicle sensor networks are susceptible...Vehicle sensor networks(VSN)play an increasingly important part in smart city,due to the interconnectivity of the infrastructure.However similar to other wireless communications,vehicle sensor networks are susceptible to a broad range of attacks.In addition to ensuring security for both data-at-rest and data-in-transit,it is essential to preserve the privacy of data and users in vehicle sensor networks.Many existing authentication schemes for vehicle sensor networks are generally not designed to also preserve the privacy between the user and service provider(e.g.,mining user data to provide personalized services without infringing on user privacy).Controllable linkability can be used to facilitate an involved entity with the right linking key to determine whether two messages were generated by the same sender,while preserving the anonymity of the signer.Such a functionality is very useful to provide personalized services.Thus,in this paper,a threshold authentication scheme with anonymity and controllable linkability for vehicle sensor networks is constructed,and its security is analyzed under the random oracle model.展开更多
Due to their versatility and ease of movement,Unmanned Aerial Vehicles(UAVs)have become crucial tools in data collection for Wireless Sensor Networks(WSNs).While numerous UAV-based solutions exist,the focus often need...Due to their versatility and ease of movement,Unmanned Aerial Vehicles(UAVs)have become crucial tools in data collection for Wireless Sensor Networks(WSNs).While numerous UAV-based solutions exist,the focus often needs to be on optimizing flight trajectories and managing energy use,sometimes neglecting key factors affecting channel quality.In this article,we introduce a collaborative design framework designed to alleviate channel quality degradation caused by UAV flight distance in three-dimensional spaces.Our approach jointly optimizes UAV power schemes,positions,and flight trajectories.Firstly,we start by introducing a novel enhancing power model developed explicitly for rotary-wing UAVs gathering data,utilizing an alternating optimization method to achieve locally optimal solutions.Next,we frame an optimization problem aimed at maximizing the total average collection rate while achieving approximate optimal position relationships among UAVs.Additionally,we propose a new trajectory optimization model based on the Steiner Minimal Tree(SMT)concept,which is called the Circumcircle Steiner Minimal Tree Problem with Neighborhood(CSMTPN).Finally,we confirm our theoretical insights and numerical outcomes through extensive simulations demonstrating our framework's effectiveness.展开更多
基金Our work was jointly supported by the National Natural Science Foundation of China(Nos.61872051,61702067)the Venture&Innovation Support Program for Chongqing Overseas Returnees(No.CX2018122)the Chongqing Natural Science Foundation(No.cstc2020jcyjmsxmX0343).
文摘Vehicle sensor networks(VSN)play an increasingly important part in smart city,due to the interconnectivity of the infrastructure.However similar to other wireless communications,vehicle sensor networks are susceptible to a broad range of attacks.In addition to ensuring security for both data-at-rest and data-in-transit,it is essential to preserve the privacy of data and users in vehicle sensor networks.Many existing authentication schemes for vehicle sensor networks are generally not designed to also preserve the privacy between the user and service provider(e.g.,mining user data to provide personalized services without infringing on user privacy).Controllable linkability can be used to facilitate an involved entity with the right linking key to determine whether two messages were generated by the same sender,while preserving the anonymity of the signer.Such a functionality is very useful to provide personalized services.Thus,in this paper,a threshold authentication scheme with anonymity and controllable linkability for vehicle sensor networks is constructed,and its security is analyzed under the random oracle model.
基金supported by the National Natural Science Foundation of China(Nos.62372266,62472251,61832012,and 62072273)the Natural Science Foundation of Shandong Province(Nos.ZR2022MF304,ZR2021MF075,and ZR2019ZD10)the Key Research and Development Program Project of Shandong Province(Nos.2022CXPT055 and 2019GGX1050).
文摘Due to their versatility and ease of movement,Unmanned Aerial Vehicles(UAVs)have become crucial tools in data collection for Wireless Sensor Networks(WSNs).While numerous UAV-based solutions exist,the focus often needs to be on optimizing flight trajectories and managing energy use,sometimes neglecting key factors affecting channel quality.In this article,we introduce a collaborative design framework designed to alleviate channel quality degradation caused by UAV flight distance in three-dimensional spaces.Our approach jointly optimizes UAV power schemes,positions,and flight trajectories.Firstly,we start by introducing a novel enhancing power model developed explicitly for rotary-wing UAVs gathering data,utilizing an alternating optimization method to achieve locally optimal solutions.Next,we frame an optimization problem aimed at maximizing the total average collection rate while achieving approximate optimal position relationships among UAVs.Additionally,we propose a new trajectory optimization model based on the Steiner Minimal Tree(SMT)concept,which is called the Circumcircle Steiner Minimal Tree Problem with Neighborhood(CSMTPN).Finally,we confirm our theoretical insights and numerical outcomes through extensive simulations demonstrating our framework's effectiveness.
