Optimizing routing based on congestion control for wireless sensor networks

Abstract

Along with the increasing demands for the applications running on the wireless sensor network (WSN), energy consumption and congestion become two main problems to be resolved urgently. However, in most scenes, these two problems aren't considered simultaneously. To address this issue, in this paper a solution that sufficiently maintains energy efficiency and congestion control for energy-harvesting WSNs is presented. We first construct a queuing network model to detect the congestion degree of nodes. Then with the help of the principle of flow rate in hydraulics, an optimizing routing algorithm based on congestion control (CCOR) is proposed. The CCOR algorithm is designed by constructing two functions named link gradient and traffic radius based on node locations and service rate of packets. Finally, the route selection probabilities for each path are allocated according to the link flow rates. The simulation results show that the proposed solution significantly decreases the packet loss rate and maintains high energy efficiency under different traffic load.

Multiparameter Fusion Decision Routing Algorithm for Energy-Constrained Wireless Sensor Networks

“…Because of this, the network packet loss ratio will increase, and the transmission efficiency of the network will be affected. Therefore, congestion control [31,32] becomes a key challenge. In [31], by taking advantage of the node's hop-by-hop feedback information mechanism, the Distributed Predictive Congestion Control algorithm (DPCC) is proposed.…”

“…Then the adaptive flow control of DPCC takes an adapted rate, so that the data stream can adaptively select the path of transmission, which partially alleviates network congestion. In [32], the authors develop a queuing network model to observe the congestion. They used the principle of the hydraulic flow and proposed a Congestion Control-based Optimal Routing algorithm (CCOR).…”

Comparative Study of Different Cost Functions Between Neighbors for Optimizing Energy Dissipation in WSN

“…By using optimum path selection algorithms, the life time of WSNs can also be increased. In [14] sensors in the network have a choice of different coding schemes to achieve varying levels of compression. At first a routing strategy is selected and then an optimal combination of data representation algorithms is chosen at each node.…”

Reducing Traffic Congestion in Modern Cities, A Challenge Based on Physico-Mathematical Theories and Wireless Sensor Network

“…GLD (Green Light District) [12] is a program that performs discrete simulations of road networks. The full application consists of two parts: an Editor and Simulator.…”