Informatics Publishing Limited

Rekha Chakravarthi ¹, C. Gomathy ²

Affiliations
1 Sathyabama University, Chennai, IN
2 Department of Electronics & Control Engineering, Sathyabama University, Chennai, IN

Abstract

In Wireless Sensor Networks (WSNs) the congestion plays a vital role in degrading the performance of the network. Under idle condition, the transmission rate is low whereas when an event is detected, it increases the transmission rate, thus leading to congestion in the network. An efficient protocol to detect and control congestion is proposed. This paper focuses on congestion due to concurrent transmission. Congestion is detected by calculating a metric called Congestion Degree (Cd). Once the congestion is detected the notification signal is sent to all intermediate nodes using Implicit Congestion Notification (ICN) signalling. On receiving the congestion notification signal, the intermediate nodes adjust their transmission rate in order to control congestion. In this paper, a new technique called Fuzzy Based Hop-by-Hop Rate Control Technique (FHRCT) is implemented to control congestion and to increase the performance of the network.

Keywords

Wireless Sensor Networks (WSNs), Congestion, Congestion Degree (Cd), Fuzzy Based Congestion Control.

Full Text

     

S. Emalda Roslin ¹, C. Gomathy ²

Affiliations
1 Sathyabama University, IN
2 Department of E & C, Sathyabama University, IN

Abstract

Topology control plays a vital role in maximizing the network lifetime and in increasing the network capacity of a Wireless Sensor Network (WSN). In this paper, a two tier architecture based topology control algorithm which increases the overall energy efficiency of WSN is presented. The lower tier involves clustering of sensor nodes which forms cluster slaves for the purpose of data gathering. The upper tier forms a communication network, where data forwarding between the cluster heads destined to the sink node, takes place. Cluster head selection is a critical process in this two tier architecture. So a new methodology based on genetic algorithm, for cluster head selection in a hierarchical cooperative approach which takes care of the nodes bandwidth, residual energy and memory capacity is proposed and implemented. Simulation results prove the effectiveness of our algorithm.

Keywords

Bandwidth, Clustering, Genetic Algorithm, Memory Capacity, Residual Energy, Topology Control, Wireless Sensor Network.

Full Text

     

S. Barani ¹, C. Gomathy ¹

Affiliations
1 Sathyabama University, Chennai, IN

Abstract

The wireless sensor network is deployed where human intervention is highly risky. It transmits the sensory data to a remote location where the processing and control of data takes place. The system is advantageous in many ways. But the limitation in battery power reduces the lifetime of the network. The life time of the network can be increased by framing an energy efficient protocol at different layers of the network. In network layer the routing protocol plays a vital role. Various routing protocols proposed for the system consider only the static condition of the nodes. The proposed protocol Energy aware Next hop and Route selection with improved Throughput for wireless sensor network (ENT) proposes a system with two phases, where the former focuses on neighbor node selection and latter focuses on route establishment based on fuzzy logic. The proposed system also considers the mobility of nodes. Simulation results show that this method has been very effective in increasing of remaining energy and network lifetime.

Keywords

Fuzzy Logic Systems, Residual Energy, Queue Size, Distance, Hop Count.

Full Text