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The Inca Trail is a network of roads of approximately 40,000 kilometers connecting Argentina, Bolivia, Chile,Colombia,Ecuador,and Peru, all of which were once part of the Inca Empire.
In Communication system, the system capacity and performance are adversely affected and degraded by interference. Hence, power control plays a prominent role in an interference-limited system, which increases the efficiency by mitigating the adjacent and co-Channel interference in the system. In this paper, primarily power control is said to be used in maintaining the acceptable Carrier to Interference Ratio (CIR) by meeting some Quality of service (QoS) requirements Objective function that is defined as maximum channel capacity in a power constraint scenario. The signals in a radio channel undergo different propagation effects like reflection, refraction, scattering and shadowing. Hence, the distribution of users across subcarrier groups as well as their transmission powers within a given cell has a significant effect on how users and power are accordingly distributed elsewhere in the network to maximize the capacity of the system thereby enhancing its performance
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.