Improving the Performance of Wireless Sensor Networks Through Optimized Complex Field Network Coding

2015 ◽  
Vol 15 (5) ◽  
pp. 2934-2946 ◽  
Author(s):  
Kayhan Eritmen ◽  
Mehmet Keskinoz
2016 ◽  
Vol 2016 ◽  
pp. 1-11
Author(s):  
Yulun Cheng ◽  
Longxiang Yang ◽  
Hongbo Zhu

Complex field network coding (CFNC) enables signal transmission and information fusion to be operated over nonorthogonal channels, which essentially improves both the bandwidth efficiency and transmission reliability of the wireless sensor networks (WSNs). This paper investigates the power allocation for the CFNC assisted WSNs. By improving the accuracy of the approximation for Q function, the closed-form expression of the pairwise error probability bound for the considered network is derived, so as to improve the optimization efficiency of the power allocation. On the basis of the expression, the relay power coefficient is optimized under the fixed power constraint. Besides, the impacts of the topology parameters on the power allocation are also analyzed accordingly. Simulations demonstrate that the proposed power allocation outperforms the benchmark in terms of the detection performance. The obtained expression of the power coefficient and insights can provide useful suggestions for the power allocation design of the CFNC assisted WSNs.


2014 ◽  
Vol 556-562 ◽  
pp. 5568-5571
Author(s):  
Min Luo ◽  
Juan Juan Feng ◽  
Bao Lin Sun

Network coding (NC) in wireless sensor network (WSN) has been shown to achieve considerable throughput gains relative to traditional routing networks. While the data throughput capacity of WSNs is unknown, the scaling of capacity with the number of nodes has recently received increasing attention. This paper proposes a Complex Field Network Coding-based Multipath Routing (CFNC-MR) in WSN. The performance of this routing method is studied using NS2 and evaluated in terms of the packet overhead, packet delivery ratio, and packet loss ratio when a packet is transmitted. Simulation shows that the approach is efficient, promising and applicable in WSNs.


2017 ◽  
Vol 54 ◽  
pp. 42-52 ◽  
Author(s):  
Nildo dos Santos Ribeiro Júnior ◽  
Rodrigo C. Tavares ◽  
Marcos A.M. Vieira ◽  
Luiz F.M. Vieira ◽  
Omprakash Gnawali

Sign in / Sign up

Export Citation Format

Share Document