Past Issue


Vol. 1 No. 1 2016

Proposed efficient energy conservation method using clustering of Nodes in wireless sensor network Original Research Article

Pages 01-05
Sahana Dhilfar, Sri Sakthi A

Abstract

In recent past Wireless Sensor Networks (WSN) plays a vital role because they have a potential to revolutionize many segments in real world. The major area of concentration may be automating the health industry, automation industry, environmental monitoring, precision agriculture etc. The design, implementation, and operation of a sensor network requires the confluence of many disciplines, including signal processing, networking and protocols, embedded systems, information management, distributed algorithms. These networks can be deployed in resource-constrained environments, for instance with battery operated nodes running. In this paper AODV (Adhoc On demand Distance Vector) protocol are used for data forwarding without any traffic. It was consider mobility and in Base Station. In this paper One BS, Three Cluster Head Management Nodes, Six Cluster Head Nodes are used for simulation. Two Gateway Protocols are also used to control and avoid traffic issues. The xgraph is also generated for better analysis.

Research Highlights

We propose an energy efficient method for wireless networks using clustering method.

We describe a various methods for battery life improvement.

We demonstrated a hybrid unconstrained movement pattern for a mobile sink with the aim of balancing the energy consumption of sensor nodes has been proposed.

Proposed efficient energy conservation method using clustering of Nodes in wireless sensor network

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Data Transmission In Networks Using Dynamic Path Re-Planning Method With Improved Efficiency Original Research Article

Pages 06-12
Narendran.M, P.Muneeswaran

Abstract

Nowadays the usage of wireless networks is rapidly increased. Severely affected by malicious nodes that drop, modify packets. 3-DX is susceptible to various attacks such as worm whole attacks, black hole attacks, spoofing, is jamming, and so on. Path re-planning is mainly done in order to reduce time and energy. In this dynamic path re-planning technique is used which is given by APRIORI algorithm. This algorithm may find an alternate path from the current point where the data packet is blocked using prediction method based on the frequency. The path that is frequently used before is selected by the algorithm and this path is taken by the data packet to reach the receiver.

Research Highlights

We propose an efficient technique for data transmission using dynamic path re-planning method.

The proposed method can also be used to determine the maximum number of systems to assign for a given coverage task for efficient coverage, which is very important for resource allocation.

A new approach using APRIORI algorithm was proposed and applied to the dynamic path planning in networks.

Data Transmission In Networks Using Dynamic Path Re-Planning Method With Improved Efficiency

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Lifetime Maximization Of Wireless Sensor Networks Using Group Characteristic Based Dynamic Wakeup Time Scheduling Original Research Article

Pages 13-18
Sathyaprakash Palaniappan, Jayakumar Vaithiyashankar, Shohel Sayeed

Abstract

The growing usage of wireless devices improves the concern about the lifetime of wireless sensor networks which is a collection of wireless devices. Wireless networks performs cooperative transmission and routing to fulfil the request of any node. The energy is the most affecting factor of lifetime of wireless node but we can notify few other factors which indirectly questions the lifetime of the network like routing the packets sent from other nodes. To provide solution for above said factors the enhancement scheme to increase the lifetime of wireless sensor networks using multi attribute dynamic wakeup time scheduling. The sink node identifies the set of available paths to reach the sink and the proposed scheme maintains the trace of packets transferred thorough variety of paths. From the log the sink identifies the traffic pattern at each route for each hop present in the route; a lifetime approximation is performed according to the energy depletion factor computed. Using all these factors, a set of nodes are scheduled for sleep and other nodes will be scheduled for wakeup. The proposed scheme maximizes the lifetime of the network by 0.2 %. Proposed scheme also increases the efficiency of the entire network data transfer capacity to 10 % then compared algorithm.



Research Highlights

We propose a Group Characteristic Based Dynamic Wakeup Time Scheduling to maximize the lifetime in WSN.

The proposed scheme maximizes the lifetime of the network by 0.2 %.

Proposed scheme also increases the efficiency of the entire network data transfer capacity to 10 % then compared algorithm.

Lifetime Maximization Of Wireless Sensor Networks Using Group Characteristic Based Dynamic Wakeup Time Scheduling

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Automatic Solar Powered Irrigation System using Wireless Sensor Network Original Research Article

Pages 19-22
M.Sridevi, T.Jaya

Abstract

In India agriculture plays an important role for development of food production. In our country, agriculture depends on the monsoons, which is not sufficient source of water. In order to efficiently manage the water resource in agriculture sector, an automated irrigation system is proposed to optimize water use and increase productivity of crops. The proposed system has a distributed wireless network with power backup managed by solar panel to meet the energy needs of this system. Sensors such as soil-moisture and temperature sensors are placed in the root zone of the plants. Whenever the moisture is decreased beyond the prescribed level water pump motor will be turned on and water will be supplied for irrigation.





Research Highlights

We proposed an automated irrigation system is proposed to optimize water use and increase productivity of crops.

We have demonstrated a WSN based remote monitoring for automatic irrigation system using solar power back up to drive water from pump to land, bore well to a tank the system.

Automatic Solar Powered Irrigation System using Wireless Sensor Network

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Integrate Numerous Sampling Tasks In Sensor Field Using Geometric Algorithm Original Research Article

Pages 23-28
Rajasekar.R, Sasikumar.S , S.Hyder Ali

Abstract

WSN employed mobile sinks to collect a set of samples from sensor field. Low-cost and small sensor devices contain various resource restrictions that introduce new challenges for data collection and aggregation in sensor networks. Among these limitations, energy is usually the primary concern when designing an in-network algorithm. The main task of sampling the sensor field is to manage the energy efficiency of the sensor source nodes when sharing out the data to the target node. The path of sending the sensor data is effectively recognized however uses more cost to forward sensor data packet. To improve the mobile sampling in sensor field, a novel method is designed to plan synchronize numerous sampling tasks. It is feasible by the sensor nodes to hold numerous sampling tasks, started by means of the same or different mobile objects in which the sampling regions gets overlapped. So, it is attractive to include an effective synchronization mechanism so that overlapped regions required only one reply for the sampling tasks. Here, a geometric series method is presented as a synchronization mechanism to synchronize the numerous sampling tasks to help the rebroadcast system by utilizing only the minimum amount of energy. Experimental simulations are carried out to calculate the performance of the proposed synchronizing numerous sampling tasks in sensor field using geometric series [SNSTGS] system against Band-based Directional Broadcast by means of average number of messages, overlap percentage.

Research Highlights

We have developed a novel method to improve the mobile sampling in sensor field using synchronize numerous sampling tasks.

A geometric series method is presented as a synchronization mechanism to synchronize the numerous sampling tasks to help the rebroadcast system by utilizing only the minimum amount of energy.

Experimental simulations are carried out to validate the performance of the proposed system by computing average number of messages and overlap percentage.

Integrate Numerous Sampling Tasks In Sensor Field Using Geometric Algorithm

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Shape and Area Based Coverage Connectivity Using Robots in Wireless Sensor Network Original Research Article

Pages 29-34
Rajaram.P, Prakasam P

Abstract

Wireless sensor networks (WSN) are ideal candidates to observe the physical space and facilitate a diversity of applications such as battlefield inspection, environment monitoring and biological detection. The Constrained Motion and Sensor (CMS) Model represents the features and defines k-step reach ability testing to describe the states but not effective in dynamic coverage of complex environment. The description and calculation method based on CMS model does not solve the problem in mobile robots. An Automatic Detection and Diagnosis (ADD) Framework based on monitoring radio measurements build a threshold. The investigation in ADD Framework also needs a dynamic network environment with expert knowledge. In this paper, a Localized Coverage based on Shape and Area Detection (LCSAD) Framework has been proposed and developed to overcome the dynamic coverage in complex environment. The deployment set is expected to be reduced more if the area of localization stations is considered. To facilitate the measurement in mobile robots, two individual algorithms to identify whether they are on the coverage area, (i.e.,) the area of a coverage hole or not has been developed. Two individual algorithms are Localized Geometric Voronoi Hexagon (LGVH) and Acquaintance Area Hexagon (AAH). LGVH sense all the shapes, no matter how the nodes are scattered. AAH based algorithm merely takes directional information by finding the area of local and global convex points of coverage area. Both these algorithms are applied to WSN of random topologies. Computations are performed on Ns-2 simulator and it has been found that the proposed LCSAD framework attains minimal energy utilization, lesser waiting time, higher scalability, throughput, delivery rate and 7 % maximal coverage connectivity in sensor network when compared with current implemented works.

Research Highlights

In this research work, a Localized Coverage based on Shape and Area Detection (LCSAD) Framework has been proposed and developed to overcome the dynamic coverage in complex environment.

The proposed method has been validated and it has been found that the proposed LCSAD framework attains minimal energy utilization, lesser waiting time, higher scalability, throughput, delivery rate and 7 % maximal coverage connectivity in sensor network when compared with current implemented works.

Shape and Area Based Coverage Connectivity Using Robots in Wireless Sensor Network

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