Energy‐balancing node scheduling inspired by gene regulatory networks for wireless sensor networks

Task allocation based on node pair intimacy in wireless sensor networks

“…For example, in [1], sensor nodes designed based on motion and vision sensor integration with a cost-effective system for real-time sports analysis is provided, which can achieve accurate player action recognition and ball state measurement with sub-second latency. In [2], sensor nodes based on the gene regulatory network is designed, which autonomously schedules its state with local interaction based on sensor variable signalling while achieving the global object predefined by an application or user. In [3], the authors have devised smart sensors with algorithms that allow groups of sensors to make autonomous decisions independent of the end-users so that certain predefined conditions are satisfied.…”

A Distributed Collision-Free Data Aggregation Scheme for wireless sensor network

“…11 However, it can exert a sleep waiting time in this way, that is, when the transmitter sends the data to the receiver, it needs to wait until the receiver's state is positive, which will inevitably lead to network delay. 12 From the above, it is necessary to reduce the delay caused by work states converting conflicts so as to solve the problem of FCFS and save the energy of the network. The main contributions of this article include in following:…”

“…11 However, it can exert a sleep waiting time in this way, that is, when the transmitter sends the data to the receiver, it needs to wait until the receiver’s state is positive, which will inevitably lead to network delay. 12…”