A Blockchain-Based Trust Model for Supporting Collaborative Healthcare Data Management

The development of information technology allows the collaborative business process to be run across multiple enterprises in a larger market environment.However,while collaborative business expands the realm of businesses,it also causes various hazards in collaborative Interaction,such as data falsification,inconstancy,andmisuse.To solve these issues,a blockchainbased collaborative business modeling approach was proposed and analyzed.However,the existing studies lack the blockchain risk problem-solving specification,and there is no verification technique to examine the process.Consequently,it is difficult to confirm the appropriateness of the approach.Thus,here,we propose and build a blockchain-based trust model to strengthen and verify the integrity and security of the collaborative business process;Integrity and security address the validity of collaborative interactions in terms of a trust,and we construct a blockchain pattern based on trust elements to meet the required the characteristics.Specifically,a trust model can be applied to the healthcare data-sharing process,and then the achievement of the trustbased safe data-sharing process can be proven.Our model can be used as a trust-building guidance tool or for integrity and security verification with the collaborative business process in a distributed environment with blockchain.

Optimized algorithm for balancing clusters in wireless sensor networks

Wireless sensor networks consist of hundreds or thousands of sensor nodes that involve numerous restrictions in-cluding computation capability and battery capacity.Topology control is an important issue for achieving a balanced placement of sensor nodes.The clustering scheme is a widely known and efficient means of topology control for transmitting information to the base station in two hops.The automatic routing scheme of the self-organizing technique is another critical element of wireless sensor networks.In this paper we propose an optimal algorithm with cluster balance taken into consideration,and compare it with three well known and widely used approaches,i.e.,LEACH,MEER,and VAP-E,in performance evaluation.Experimental results show that the proposed approach increases the overall network lifetime,indicating that the amount of energy required for com-munication to the base station will be reduced for locating an optimal cluster.