Efficient Cross-Layer Optimization Algorithm for Data Transmission in Wireless Sensor Networks

Chengtie Li,Jinkuan Wang,Mingwei Li

doi:10.1155/2015/545798

Chengtie Li, Jinkuan Wang + Show 1 more

Open Access

https://doi.org/10.1155/2015/545798

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Abstract

In this paper, we address the problems of joint design for channel selection, medium access control (MAC), signal input control, and power control with cooperative communication, which can achieve tradeoff between optimal signal control and power control in wireless sensor networks (WSNs). The problems are solved in two steps. Firstly, congestion control and link allocation are separately provided at transport layer and network layer, by supply and demand based on compressed sensing (CS). Secondly, we propose the cross-layer scheme to minimize the power cost of the whole network by a linear optimization problem. Channel selection and power control scheme, using the minimum power cost, are presented at MAC layer and physical layer, respectively. These functions interact through and are regulated by congestion rate so as to achieve a global optimality. Simulation results demonstrate the validity and high performance of the proposed algorithm.

Highlights

Wireless sensor networks find many applications in military areas detection, habitat monitoring, and so on
Cross-layer optimal design is presented, which considers the influence for congestion rate at physical layer, medium access control (MAC) layer, network layer, and transport layer to achieve minimum power cost in wireless sensor networks (WSNs)
We propose a cross-layer optimal protocol by integrating using “cross-layer design,” “optimal theory,” and “compressed sensing” to achieve higher throughput and power efficiency

Summary

Introduction

Wireless sensor networks find many applications in military areas detection, habitat monitoring, and so on. Reference [10] investigated optimal power control, rate adaptation, and scheduling for an ultrawideband-based Intravehicular Wireless Sensor Network for one-electroniccontrol-unit (ECU) and multiple-ECU cases These methods are widely applied into many-to-one data transmission control protocols and solved the problems in every aspect [11,12,13,14]. Cross-layer optimal design is presented, which considers the influence for congestion rate at physical layer, MAC layer, network layer, and transport layer to achieve minimum power cost in WSNs. The algorithm coordinates communication protocols by congestion rate in the several layers to solve lossy wireless channel, excessive contention and unfair access, disabled bandwidth allocation, and the fundamentally inappropriate mechanisms of TCP. The optimum solutions are the optimal power control and channel selection

Network and Node Model

Cross-Layer Optimization Design of Cooperative Communication

Simulation Analysis

Conclusions