In order to ensure effective monitoring of Wireless Sensor Network(WSN) coverage and connectivity maximization and energy consumption minimization, a sensor node deployment algorithm based on Multi-Objective Biological Habit Incentives(MOBHI) is proposed. Firstly, the area(territory) of the sensor nodes is marked according to multiple objects such as maximum coverage, maximum connectivity, and minimum energy consumption based on the scent marking behavior of the territory predator, and its monitored location is identified by imitating the scent matching. Secondly, multiobjective optimization problem is decomposed into multiple single-objective optimization subproblems and optimized simultaneously by applying the non-dominated Pareto optimization, so as to obtain the solution of the desired objects. The simulation results show that the proposed algorithm is superior to other multi-objective and single-objective optimization algorithms in sensor nodes deployment in terms of network coverage, connectivity and energy consumption.