Energy-aware Hybrid Routing Strategy in Cognitive Radio Sensor Networks of Grid Topology

To solve the problem of energy consumption optimization for wireless sensor network in grid topology, the overall energy consumption is decomposed into two parts, i.e. energy consumption for transmission and energy consumption for node standing by, and the relevant influencing factors of energy consumption are analyzed. Pointed out that load-balance routing and delay-minimization routing can optimize the above two types of energy consumption respectively. However, none of these routing methods can minimize the overall energy consumption. With a multi-channel, dual-mode, TDMA media access method, proposed hybrid routing strategy that uses different routing methods in different positions of topology. Simulation experiments in OMNet++ analyzed and compared the load on performance bottleneck node and the transmission delay of load-balance routing, delay-minimization routing and hybrid routing. The results show that hybrid routing strategy leads to load balance and delay minimization, and can minimizes the overall energy consumption.