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Wireless Sensor Networks (WSNs) nowadays are used in numerous fields. Direct Communication, Multi-hop Routing and Clustering are main approaches that can be used for communication protocols in Wireless Sensor Networks. In this study, novel clustering algorithms which are designed for WSNs are analyzed and compared. The comparison results are also summarized with a table. Finally, the popular algorithms...
To provide secure data transmission in Cluster Wireless Sensor Networks (CWSNs), the challenging task is to provide an efficient key management technique. To enhance the performance of sensor networks, clustering approach is used. Wireless Sensor Network (WSN) comprises of large collection of sensors having different hardware configurations and functionalities. Due to limited storage space and battery...
Wireless sensor network (WSN) is a low-powered network formed by the sensor nodes that finds application in civilian, military, visual sense models and many others. Improved network lifetime is an important task to be achieved by these sensor networks. The conservative routing protocols cannot be applied here due to its battery powered nodes. To provision energy efficiency, nodes are frequently clustered...
In this paper, we propose an energy efficient multipath congestion control protocol, called emReno. emRemo can shift traffic to the lower energy cost path without sacrificing the throughput and still guaranteeing the fairness and load balancing. The extensively simulations show the features of emReno as a common multipath congestion control protocol as well as its energy efficient characteristic.
Rapid technology evolvement in the area of wireless sensor networks (WSNs) has led to many application-specific protocols that are particularly developed to cover different fields of usage and various network scenarios. Energy efficiency is one of the apparent challenges facing WSNs which has impacted immensely on the network performance. Hence, clustering protocols that eliminate energy inefficiencies...
Radio networks (RN) are distributed systems consisting in n active stations. Assuming the number n unknown, we consider the model of RN without collision detection and design distributed randomized protocol that allows to compute a stochastic estimate N of the number n of active stations. Our algorithms are shown to run in expected time O(log n) with no station being awake for more than O(log log...
Radio Frequency Identification (RFID) Network is a collection of readers and tags with reading, computation and communication capabilities. The readers are capable of receiving data from the tags in the monitoring environment. These networks are constraint with energy, memory and computing power. One of the major problems in RFID Network is to capitalize on the lifetime of the network. Hence in order...
Wireless Sensor network (WSN) has added a new dimension in the field of wireless communication. As the sensor nodes are placed at remote places and are equipped with limited sources of battery power, proper energy efficient routing algorithms as well as clustering protocols are highly needed to make the system more energy efficient. Such an energy efficient clustering algorithm has been presented...
Wireless sensor network is one of the emerging technologies in wireless networks and communication. WSN composed of large number of small sensors which senses the physical situations occurred in the environment. For WSNs, energy efficiency is the main challenge and to create efficient networks, sophisticated routing algorithms are designed. Clustering algorithm is one of technique used in WSN to minimize...
In Wireless Sensor Networks (WSNs), the nodes have limited battery power. It is a challenging task to increase the network lifetime where different nodes possess different energy labels. To better utilize this limited energy, we propose an energy efficient cluster head selection algorithm named as Energy aware Cluster Head Selection (ECHS) based on residual energy of nodes. We have also compared the...
In WSN, number of sensor nodes is randomly deployed in the network. These nodes are small, low power nodes with different capabilities like sensing, computing and wireless communications. Since they have limited battery lifetime, there is a need to provide an efficient algorithm that provides higher network lifetime for the given amount of available energy. The proposed enhanced energy efficient Leach...
Sensor nodes depend on power source, but they deplete rapidly. The major issues of Wireless Sensor Network (WSN) are its energy source constraints. We are able to solve this issue by using clustering architecture. In this paper we study about various clustering techniques used in WSN. The large-scale deployment of WSNs and the need for data aggregation resolve this issue mainly. Clustering is best...
Various hierarchical clustering schemes have been proposed in order to efficiently maintain the energy consumption of sensor nodes. Most of these schemes, however, are hardly applicable in practice since these schemes might produce unbalanced clusters or randomly distributed clusters without consideration for the distribution of sensor nodes. To overcome the limitations of such hierarchical clustering...
Data aggregation at the bottom station with entity nodes act as the root for overflow of the information which consequences in peak power utilization. To diminish this dilemma a new data aggregation technique has been proposed called ERA which has improved the performance of the WSNs by using the group based data aggregation but even then it has some limitations. In order to overcome the drawbacks...
Streaming services are gaining popularity and have contributed a tremendous fraction of today's cellular network traffic. Both playback fluency and battery endurance are significant performance metrics for mobile streaming services. However, because of the unpredictable network condition and the loose coupling between upper layer streaming protocols and underlying network configurations, jointly optimizing...
Wireless Sensor Networks have been organized for various aspects like, data collection, security, tracking, military applications etc. But one of the major challenges in Wireless Sensor Network (WSN) that is yet to be sorted out is the lack of energy efficiency which retards the lifetime of the network. Clustering or Hierarchical routing is good solution for reducing much of energy consumption in...
Wireless sensor networks (WSNs) powered by energy harvesting is a promising technology for monitoring and diagnostic systems in smart grid. However, the limitation and instability of harvesting energy leads to the requirement of high energy-efficient time synchronization algorithms for WSNs. In this paper, in order to minimize the energy consumption, we propose an improved hybrid time synchronization...
In this paper, various works that have been done in the field of cross-layer design for wireless sensor networks so far have been illustrated. This paper mainly focuses on the research works done to make the wireless sensor networks more energy-efficient. For making wireless sensor networks energy efficient, various cross-layer protocols and their enhanced versions have been introduced. One of the...
Wireless sensor networks (WSNs) have many applications in military services, health centers, industries as well as home surveillances. In such networks energy efficiency of nodes and life time of network are main concerns. Different clustering approaches are used to efficiently optimize the energy of sensor nodes. Clustering also improves the scalability of sensor nodes. We reviewed different approaches...
Wireless Sensor Network (WSN) is most integral part of our day to day life. They are widely used in various applications. Many Clustering based algorithms have been proposed for designing WSN. Some of them are fuzzy based approaches. The purpose of this paper is to propose a clustering based approach with fuzzy logic and relay node implementation that can cope up with drawbacks of the previously proposed...
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