V. R. Sarma Dhulipala

Smart parking systems and sensors: A survey

In this paper, we explore the concept of the smart parking system and their categories. The classifications of various existing systems are explained. The parking system handles various technologies, and the categories of those techniques are given. The functions of the nodes in wireless sensor networks are classified.

Role of relay node in Wireless Sensor Network: A survey

This paper describes the concepts of Relay node characteristics, various deployment methods, and their internal behaviors in the Wireless Sensor Networks (WSN). First, the internal behavioral characteristics of relay node and their different state processing are analyzed using algorithm. Then, the influence of relay nodes in WSN and the potential relay node deployment methods were explored and with the efficient deployment of relay nodes, a simple research-level review of WSN accuracy and network energy consumptions are provided via Simulation results. Exposed research issues for the realization of relay node deployment in WSN were also discussed.

Trust calculation in wireless sensor networks

A wireless sensor network (WSN) is a collection of distributed sensor nodes to work together for monitoring the physical and environmental conditions. Trust in wireless sensor networks is an important issue and it solves the problem of access control, privacy, secure routing scheme and reliable communication. This paper introduces a new approach to calculate the trust in WSN. The proposed algorithm and the evaluation of the trust value of the node in the network depend on the trust attributes, metrics and trust parameters.

A WSN Based Framework for Human Health Monitoring

Wireless Sensor Networks (WSN) is neoteric progressing technology which addresses solutions to critical application environments. It allows the assimilation of medical sensors to form a group scenario which makes it feasible to remotely collect and communicate the physiological signals of a patient, thus preventing the patient from being tied to a particular set of monitoring medical instruments and thereby facilitate the patients prior acquittal from the hospital. The sensor nodes adhered to the human body form a network and transmit the collected data to the medical server at a remote location via internet thus forming a Wireless Body Area Network (WBAN). We propose a framework for WBAN which discusses the working of the WBAN in three phases and the parameters which influence the working of each phase. Further the work also concentrates to generate a full fledged monitoring system for patient monitoring in health care.

Impact of mobility models on mobile sensor networks

Wireless sensor networks (WSN) is an emerging technology, finds variety of applications in military, movement tracking, industries and medical fields. WSN are self configurable, self healing networks. In mobile sensor network, (MSN) nodes are free to move with wireless links without infrastructure. In this paper, we have studied the impact of various mobility models with AODV and DSDV routing protocols and have compared the throughput of the models. Parameters such as loss ratio, hop counts, velocity of the nodes are analyzed by varying the node density using various mobility models and routing protocols.

Modified GPSR Based Optimal Routing Algorithm for Reliable Communication in WSNs

Geographic routing is one of the most widely used routing strategies in large-scale wireless sensor networks (WSN). With location-based routing, small, cheap and resource constrained nodes can perform the routing function without the need of complex computations and large amount of memory space. In the traditional approach, nodes advertise their availability to update the routing table. We eliminate this to reduce energy consumption. We introduce Modified Greedy Perimeter Stateless Routing (GPSR) routing protocol for efficient communication among sensor nodes, which identifies optimal route based on energy utilization. The implementation of GPSR in sensor networks faces many challenges due to limited memory and battery energy on each node, frequent change of network topology and unreliable infrastructure. Our Modified-GPSR approach results in near-optimal communication cost across the network. The simulation results prove that the energy and delay in minimized and substantially increases the network lifetime of sensor node. The proposed protocol outperforms the existing routing protocol for WSNs.

Energy and Fault Aware Management Framework for Wireless Sensor Network

Wireless Sensor Networks (WSN) is a collection of numerous tiny sensor nodes which are randomly deployed in distributed environment. The reliability of WSN is affected by faults that may occur due to various reasons. The Fault Tolerance is the key factor for distributed sensor application. The main objective of this paper is to create an algorithm for fault tolerance. According to the network environment changes, this algorithm guarantees reliability. Our paper also gives out a framework which can be a solution for various faults occurring in WSN environment.

Rate Optimization Scheme for Node Level Congestion in Wireless Sensor Networks

The Application specific wireless sensor network differs basically from the general data network. It focuses on tight communication but restricted in storage, lifetime, power and energy. The WSNs consists of unbelievable network load and it leads to energy wastage and packet loss. Many of the existing concepts are developed for link level congestion control. The Rate optimization technique for node level congestion will assist to control the traffic at node level. Except source and sink node the remaining nodes may participate in forwarding the packets towards the communication direction. The rate based adjustment technique is applied to avoid packet dropping in order to save the network resources. We are proposing this scheme to avoid the buffer overflow and it is not taking too much energy consumption in the communication. This scheme will assist to improve the throughput, efficiency and resource saving. Node level congestion control is effectively needed for WSN, because the node deployment can be anywhere. We are Introducing this scheme using the network simulators extended tool called mannasim.

Industrial utilization of wireless sensor networks

Currently the need of the hour is how the emerging technologies going to change the existing system. This is an important idea which has been focused by many developers and research scholars. A Wireless Sensor Network (WSN) is a wireless network consisting of different devices that use sensors to monitor physical or environmental conditions. WSN has greatly influenced in developing various applications and provide a new dimension for research scholars. Most research scholars concentrate on experimenting the ideas, proposals which are complex in nature. In industrial systems, instrumentation leads to the designs of high level configurable and automated systems which measures, regulates and process the data. They play important role in wireless sensor network. This paper discusses in detail about the concepts and techniques in the industrial and instrumental usage of wireless sensor networks.

Energy consumption heuristics in wireless sensor networks

Wireless sensor network (WSN) is a collection of sensor nodes which are deployed densely in a distributed environment. Energy is biggest constraints to wireless sensor capabilities. Due to the large number of sensors, network-scale interaction is indeed a more energy consuming. In this paper, an algorithm is proposed for optimum utilization of energy and reliable communication in WSN.