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Limin M.,Zhejiang University of Technology | Limin M.,Zhejiang Provincial Key Laboratory of Communication Networks and Application | Kai Z.,Zhejiang University of Technology | Kai Z.,Zhejiang Provincial Key Laboratory of Communication Networks and Application | And 2 more authors.
Wireless Personal Communications | Year: 2015

Capacity analysis is a hotspot in the research of wireless networks, playing an important role in the network construction. This paper analyzed the connectivity of the network to form the hops-distribution probability formula between the source node and the destination node; then developed the closed-form expressions of the upper bound and lower bound of the multi-hop capacity based on the Gupta physics model; finally first-order energy model was built for computing the bounds of the lifetime of the networks. This paper defined capacity as the amount of traffic in the lifetime of the networks. The numerical simulation shows: multi-hop network capacity with the node number showed a trend of first increasing and then decreasing; with the increasing of nodes, multi-hop have the high probability in transmission and larger range of capacity than that of one-hop network. © 2015, Springer Science+Business Media New York.


Jiang W.,Zhejiang University of Technology | Jiang W.,Zhejiang Provincial Key Laboratory of Communication Networks and Application | Zhou K.,Zhejiang University of Technology | Zhou K.,Zhejiang Provincial Key Laboratory of Communication Networks and Application | And 2 more authors.
Chinese Journal of Sensors and Actuators | Year: 2016

Channel bandwidth and signal to interference plus noise ratio(SINR)are the main factors that limit the network capacity. This paper proposes an improved wireless network capacity algorithm based on power distribution strategy optimization in multi relay cooperative system. Firstly, the paper uses the multi relay cooperative scheme to improve the network transmission rate and establish the network maximum flow model. Secondly, under the limitation of network power, the paper optimizes the power distribution of relay notes and establishes the network maximum flow model. Finally, the paper compares the interrupt probability and network capacity performances under two different strategies, which are relay coordination and energy optimization allocation and non-relay coordination and equal energy allocation. The results show that with the increase of the number of nodes, the network capacity increases firstly and then decreases, and the multi relay cooperation and energy optimization allocation strategy is more beneficial to improve the capacity of wireless network. © 2016, The Editorial Office of Chinese Journal of Sensors and Actuators. All right reserved.


Zhou K.,Zhejiang University of Technology | Zhou K.,Zhejiang Provincial Key Laboratory of Communication Networks and Application | Meng L.,Zhejiang University of Technology | Meng L.,Zhejiang Provincial Key Laboratory of Communication Networks and Application | And 2 more authors.
Chinese Journal of Sensors and Actuators | Year: 2015

Capacity estimation is the hotspot in the research of wireless sensor networks. This paper investigates capacity algorithms based on the physics SINR model by using the integer linear programming to formulate the routing problem. This paper proposes the residual capacity algorithm and total traffic algorithm based on the lifetime of network. The numerical results show the capacity will be improved with the increase of the nodes in networks and the dynamic capacity is a time-varied function which will decrease with time. Finally, this paper points out that routing strategies and mobility will improve the capacity. ©, 2015, The Editorial Office of Chinese Journal of Sensors and Actuators. All right reserved.

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