As a core technology of Internet of Things(IoT),Wireless Sensor Network(WSN) has become a research hotspot recently.More and more WSNs are being deployed in highly mobile environments.The fast moving sensor nodes brin...As a core technology of Internet of Things(IoT),Wireless Sensor Network(WSN) has become a research hotspot recently.More and more WSNs are being deployed in highly mobile environments.The fast moving sensor nodes bring significant challenges for the routing decision.In this paper,we propose an efficient logical location method,and designe a mobility estimating metric and derive a novel Green Mobility Estimation-based Routing protocol(G-MER) for WSNs.We also set up a full framework to evaluate its performance.Simulation results illustrate that G-MER achieves a fairly better performance in terms of broadcast times and link failures than AODV.What's more,it decreases the mean hops by about 0.25 and reduces energy consumption by about 10% during the whole experiment.All the results show that G-MER can be effectively used in fast-moving and limited resource scenarios.展开更多
基金This paper was partially supported by the National Natural Science Foundation of China under Crants No. 61003283, No. 61001122 Beijing Natural Science Foundation of China under Crants No. 4102064+2 种基金 the Natural Science Foundation of Jiangsu Province under Crant No. BK2011171 the National High-Tech Research and Development Program of China under Crant No. 2011 AA010701 the Fundamental Research Funds for the Cen- tral Universities under Ccants No. 2011RC0507, No. 2012RO3603.
文摘As a core technology of Internet of Things(IoT),Wireless Sensor Network(WSN) has become a research hotspot recently.More and more WSNs are being deployed in highly mobile environments.The fast moving sensor nodes bring significant challenges for the routing decision.In this paper,we propose an efficient logical location method,and designe a mobility estimating metric and derive a novel Green Mobility Estimation-based Routing protocol(G-MER) for WSNs.We also set up a full framework to evaluate its performance.Simulation results illustrate that G-MER achieves a fairly better performance in terms of broadcast times and link failures than AODV.What's more,it decreases the mean hops by about 0.25 and reduces energy consumption by about 10% during the whole experiment.All the results show that G-MER can be effectively used in fast-moving and limited resource scenarios.
