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Well-organized big data get together in the densely distributed sensor networks is, therefore, a challenging research area. One of the most effective solutions to address this challenge is to utilize the sink node’s mobility to facilitate the data gathering. While this technique can reduce energy consumption of the sensor nodes, the use of mobile sink presents additional Challenges such as determining the sink node’s trajectory and cluster formation prior to data collection. In this paper, we propose a new mobile sink routing and data gathering method through network clustering based on modified ExpectationMaximization (EM) technique. In addition, we derive an optimal number of clusters to minimize the energy consumption. The effectiveness of our proposal is verified through numerical results.
Routing in Wireless Sensor Networks has to take into account the limited battery resources of the nodes. Sensor nodes can also be powered by other energy sources like solar energy. This paper provides a review of Environment monitoring using Wireless Sensor Networks. The issues related to environment sensor networks is highlighted. The real time applications in environment monitoring is presented with emphasis on energy conservation. Furthermore in this paper we address the problem of scavenging energy using solar powered devices.
Rapidsoft Systems has extensive domain knowledge when it comes to wireless and mobile application solutions. We like to build smart phone applications for cellular operators and handset manufacturers, game developers, as well as ring tone developers. We develop solutions using J2ME, Brew, iPhone, Palm Pre, Windows Mobile, Flashlite and Symbian platforms, that allow rapid deployment and sophisticated user functionality. We are one of the few mobile software development companies that can work across all major mobile platforms available today.
Clustering technique is the basic technique used in the wireless sensor network to enhance the lifetime of a sensor network by mitigating energy consumption and provide efficiency, scalability, and security. Formerly sensor nodes are considered to be homogeneous in which each node has the same processing capacity, energy and functionality, but to prolong network lifetime researches has been evolved to infuse heterogeneity in wireless sensor network such as to provide different energy level to some nodes. In this paper, we present a survey on basic clustering techniques for Heterogeneous wireless sensor networks.
Mobile Ad hoc Network (MANETs) is an infrastructure – less network which is created by deploying the mobile nodes carrying wireless devices, able to route the data through multi hop fashion. MANETs uses distributed routing approach. In this paper, analysis of different classification of routing protocols such as: Reactive (AODV, DSR) Proactive (DSDV) and Hybrid protocols ZRP (Zone Routing Protocols) has been done using NS2 simulator. The above work analysis has been done on the following QoS parameters such as: Packet Delivery Ratio, Average Throughput, Routing Overhead and Average Delay
Gray level Slicing is to highlight a specific range of gray values. Power Adaptation methods are presented for gray level slicing approaches. Power Adaptation methods aims in optimization of the resulting bit error rate by gray level slicing without preserving background and gray level slicing with background. This paper gives us an achievable increase in the proposed method rather than the conventional method with a better quality and the bit error rate is also optimized in proposed method rather than the former method with acceptable quality.
Network coding has been recently applied to wireless networks to increase throughput. Back-pressure type algorithms based on the algorithmby Tassiulas and Ephremides have recently receivedmuch attention for jointly routing and scheduling over multi-hopwireless networks. we explore the performance of backpressure routing and scheduling for TCP flows over wireless networks. TCP and backpressure are not compatible due to a mismatch between the congestion control mechanism of TCP and the queue size based routing and scheduling of the backpressure framework. We decouple the routing and scheduling components of the algorithm by designing a probabilistic routing table that is used to route packets to per-destination queues. The scheduling decisions in the case of wireless networks are made using counters called shadow queues.
Plumboat is a robot which is specially designed to detect the cracks and leakages in the underground pipes. This project is a combination of embedded systems and Robotics. Leaky water pipes pose serious problems for cities, as it leads to the loss of roughly a billion Litres of clean drinking water every day. Whenever there is a leakage problem in the underground pipes, the entire roadways are dug to detect the cracks in the pipes and also the water supply is stopped for the same amount of span causing inconvenience to the people. Also, due to the destruction of entire roadways it becomes very difficult for the people to drive vehicles on the roads leading to traffic and inconvenience. To avoid these problems we have designed a robot which will detect the underground pipe leakages in the pipes with the help of a wireless camera due to which only the relevant part of the road will be dug for repair. This robot has a tripod design. It smartly detects the cracks and display