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In a WSN, it is desirable to keep many sensors active to collect data as much as possible which causes network failure, on the other hand, if most of the sensors are asleep, enough data can not be collected. Therefore, the trade-off between data collection and energy saving has made data gathering an interesting research field. To handle these challenges, we present an energy efficient data gathering...
Wireless sensor networks are those that are used for the communication between various sensor nodes to the base station. Heterogeneity in such networks is used to manage the network deployment cost and the network traffic. A hierarchical cost effective LEACH (HCEL) protocol is proposed to enhance energy efficiency of the sensor nodes thereby maximizing the network performance without increasing the...
Cooperation of sensors and actors is an important research field in WSAN. To improve the efficiency of WSAN, based on QPSO (Quantum-behaved Particle Swarm Optimization), this paper proposed a new coverage optimization strategy for actor deployment in WSAN. By adopting a number of particles independently searching for solution space, they can share the current global optimal value at a certain communication...
Modern applications of algebraic topology to point-cloud data analysis have motivated active investigation of combinatorial clique complexes — multidimensional extensions of combinatorial graphs. We show that meaningful invariants of such spaces are reflected in the combinatorial properties of an associated family of linear matroids and discuss matroid-theoretic approaches to several problems in computational...
Recent achievements in wireless sensor networks have enabled the use of tiny and inexpensive sensors with the ability of sensing large information and propagating over large distances. But the most important concern with wireless sensor network is, the node sensing range is very small, Low storage and limited energy resources. So to overcome this type of problem efficient energy planning should be...
In Wireless Sensor Network, the communication generally takes higher energy than other operations like sensing and data processing. So the traffic reduction in communication is one of the most important concern for prolong the life of sensors. This paper presents three traffic reduction techniques based on dominating set. In the first approach base station is dynamically relocate to the sensing area...
Wireless sensor networks represent an innovative prototype for extracting data from the environment for various applications. It consist of various sensors which send their sensed data to base station. So energy preservation is a key issue for sensor nodes as they have restricted power. This has led to a number of routing scheme for maximizing the network lifetime. In this paper we have enhanced the...
In order to realize effective disaster relief systems or anti-disaster systems, which increase safety through the prevention of catastrophic failures, environmental damage, and hazardous leaks or spills, many wireless sensor networks (WSNs) have been designed. A recently proposed low energy critical infrastructure monitoring (LECIM) sensor network can also be used for this purpose. This paper is intended...
In large scale wireless sensor network (WSN) energy reservation is crucial, as in such an environment sensors cannot be periodically maintain. Therefore we investigate the opportunity to reduce the power consumption by reducing the data rate traffic of the network. This is done utilizing either data correlation and sparsity in one dimension or the spatial sparsity among clustered sensor nodes. We...
In recent years, Wireless Sensor Networks (WSNs) have become valuable assets to both the commercial and military communities with applications ranging from industrial control on a factory floor to reconnaissance of a hostile border. A typical WSN topology that applies to most applications allows sensors to act as data sources that forward their measurements to a central sink or base station (BS)....
In recent years, Wireless Sensor Networks (WSNs) have become valuable assets to both the commercial and military communities with applications ranging from industrial automation and product tracking to intrusion detection at a hostile border. A typical WSN topology allows sensors to act as data sources that forward their measurements to a central sink or base station (BS). The unique role of the BS...
Data communication is the most expensive task within the resource restraint wireless sensor networks (WSN), where data aggregation and multi-hop communications are implemented within WSN to reduce energy consumption. Energy reduction is further possible by partitioning WSN into suitable clusters, which select intermediate gateways as data aggregation points. We have proposed an energy optimization...
Wireless sensor networks (WSNs) have been widely studied and usefully employed in many applications such as monitoring environment, embedded system and so on. Coverage preservation, unique ID assignment and extension of network lifetime are important features for wireless sensor networks. Grouping sensor nodes into clusters is an effective way to improve the network performance. The ratio of covered...
Energy consumption of wireless nodes in WSNs increases with transmission duration. To reduce it so as to extend the entire network lifecycle at no sacrifice of communication reliability and quality, this paper first proves experimentally the relationship of communication distance to emission rate is of a logistic curve and find the receiving current increases linearly with the emission rate, Then,...
For energy-based multi-source localization in wireless sensor networks (WSNs), multi-resolution search and expectation maximization algorithms are of either high energy consumption or low localization accuracy. In this paper, we propose a multi-source localization algorithm via sparse reconstruction based on fully distributed structure (MLSR-FD) in WSNs. The fully distributed structure is used to...
Most of the routing protocols in Wireless Sensor Networks (WSN) generally optimize for limited capabilities. Security is a serious concern. This paper proposes a novel method to bring in security into Destination Sequenced Distance Vector (DSDV) routing protocol. One of the main security issues in DSDV routing is that all nodes are assumed to be trustworthy. This makes the wireless sensor network...
In the last few years, Wireless Sensor Network (WSN) emerges and appears as an essential platform for prominent concept of Internet of Things (IoT). Their application ranges from so-called “smart cities”, “smart homes” over environmental monitoring. The connectivity in IoT mainly relies on RPL (IPv6 Routing Protocol for Low Power and Lossy Network) - a routing algorithm that constructs and maintains...
In a wireless sensor network composed of battery-powered sensor nodes, the saving of battery power consumptions of sensor nodes is essential to prolong the lifetime of a wireless sensor network. For this purpose, we have proposed the PARC method, which improves the efficiency of multi-hop communication in wireless sensor networks. However, even in case of using the PARC method, a hot spot problem...
The purpose of this research is to study the existing work in the field of applications of Game Theory in engineering. The project was undertaken to comprehend the basics of Game Theory and then infer how it can be applied to solve practical problems. Initially the nuances of Game Theory were explored through standard texts and then they are followed by four problem statements to study how they can...
Wireless Sensor Network is fabricated by the deployment of many miniature devices (sensors) which are capable of sensing, communicating and computing. These networks are susceptible to security threats due to unattended deployment of sensors. There are many attacks on information in transit, out of all Black hole attack or packet dropper is a denial of service attack in which an intruder persuades...
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