Name
Title | ||
|---|---|---|
Alternating Optimization Algorithms for Power Adjustment and Receive Filter Design in Multihop Wireless Sensor Networks |
Abstract | ||
|---|---|---|
In this paper, we consider a multihop wireless sensor network (WSN) with multiple relay nodes for each hop where the amplify-and-forward (AF) scheme is employed. We present algorithmic strategies to jointly design linear receivers and the power allocation parameters via an alternating optimization approach subject to different power constraints, which include global, local, and individual constraints. Two design criteria are considered: The first criterion minimizes the mean square error (MSE), and the second criterion maximizes the sum rate of the WSN. We derive constrained minimum mean square error (MMSE) and constrained maximum sum-rate expressions for the linear receivers and the power allocation parameters that contain the optimal complex amplification coefficients for each relay node. An analysis of the computational complexity and the convergence of the algorithms is also presented. Computer simulations show good performance of our proposed methods in terms of bit error rate (BER) and sum rate compared with the method with equal power allocation and an existing power allocation scheme. |
Year | DOI | Venue |
|---|---|---|
2015 | 10.1109/TVT.2014.2320815 | IEEE T. Vehicular Technology |
Keywords | Field | DocType |
wsn,bit error rate,relays,receive filter design,minimum mean square error (mmse) criterion,wireless sensor networks (wsns),optimal complex amplification coefficients,alternating optimization approach,mmse,ber,power allocation parameter,multihop transmission,amplify and forward scheme,maximum sum-rate (msr) criterion,convergence algorithm,power adjustment,convergence,amplification,computational complexity,linear receiver design,multiple relay node,power allocation,radio receivers,af scheme,wireless sensor networks,minimisation,error statistics,radiofrequency filters,multihop wireless sensor network,minimum mean square error,amplify and forward communication,mean square error methods,optimization,nickel,resource management | Convergence (routing),Mathematical optimization,Computer science,Mean squared error,Minimum mean square error,Electronic engineering,Wireless sensor network,Relay,Filter design,Bit error rate,Computational complexity theory | Journal |
Volume | Issue | ISSN |
64 | 1 | 0018-9545 |
Citations | PageRank | References |
7 | 0.49 | 25 |
Authors | ||
3 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Tong Wang | 1 | 28 | 6.83 |
| Rodrigo C. de Lamare | 2 | 1461 | 179.59 |
| Anke Schmeink | 3 | 277 | 46.57 |