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Incorporating cognitive radio technology into wire-less sensor networks enables the sensor nodes to use the idle channels to meet their communication demands, but the spectrum sensing process inevitably brings extra energy consumption. Since cognitive sensor nodes are generally low-powered with limited batteries, we consider a novel spectrum sensing scheme with combined clustering and censoring for...
Appropriate cluster head selection process in hierarchical cluster based routing algorithms is vital to make the wireless sensor networks energy efficient. This paper suggests a hybrid cluster head selection method with the parameters Location centrality and Nodes' lingering energy on the fixed clusters. The simulation outcome illustrates that the proposed algorithm is good at load balancing with...
Recently Internet of Things(IoT) technology, especially the technologies used for Wireless Sensor Network (WSN) have attracted great amount of attention. Since ZigBee, which is a low-power and low cost technology, is appeared, related applications are proliferation. The studies of how energy efficiency can be further achieved are steadily on progress. In this paper, we propose a method which increases...
One of the most important challenges in heterogeneous wireless sensor network (WSN) is to design a routing protocol that use energy efficiently to prolong the lifetime of the entire network due to the limited battery power of sensor nodes. To solve this problem, in this paper, we propose Sector-Chain Based Clustering (SCBC) Routing Protocol, in which, entire network area is divided into sectors (clusters),...
Energy minimization is of great importance in wireless sensor networks in extending the battery lifetime. One of the key activities of nodes in a WSN is communication and the routing of their data to a centralized base-station or sink. Routing using the shortest path to the sink is not the best solution since it will cause nodes along this path to fail prematurely. We propose a cross-layer energy...
Energy consumption is an important issue in the design of Wireless Sensor Networks (WSNs) which typically are powered by limited energy. A suitable clustering algorithm for grouping sensor nodes can raise energy efficiency for WSNs. However, there exist some overheads for clustering, such as cluster-head selection, assignment, and cluster construction. In this paper, we propose a new regional energy...
A channel-sharing method was proposed to improve the bandwidth and energy efficiency per detection task in wireless sensor network. The sensor nodes transmitted their log-likelihood ratios (LLR) to the fusion center in approximately descending order of the absolute value of their LLRs by modifying the value of backoff timer and frame interval according to the values of their LLRs. Simulation results...
In wireless sensor networks (WSNs), periodically switching nodes into sleep mode is an effective way to reduce the energy consumption. However, the sleep period introduces additional end-to-end delay into packet delivery. We propose an optimal transmission policy, which assigns the number of packets per node should receive at each active period to minimize the end-to-end delay and the energy consumption...
Advancement in wireless sensor network gives scope of research in the field of designing routing protocol. In this paper evolution of routing protocol is described with its important classification for wireless sensor network. Energy efficient and reliability are two most important factors while designing the routing protocol. Here survey of different classification of routing protocol is done with...
In this paper emphasizing the relation between outage and power, we propose a novel cooperative routing algorithm, called Outage-aware K-shortest paths Cooperative Routing (OKCR), which minimizes the transmitted power while exploiting the merit of cooperative communication. The OKCR algorithm (i.e., inherently based on Yen's K- shortest paths algorithm) finds the best route between the source and...
Preamble sampling (or low-power listening) is a low-power technique used in wireless networks to allow nodes to check for waiting traffic by periodically waking up from a low-power sleep state. An increasing number of proposals exist in literature to provide static and adaptive solutions to implement preamble sampling. This paper tackles the important question of what is the optimal preamble sampling...
Wireless Sensor Networks (WSN) consists of small sensor devices with sensing, processing and communication capabilities. Sensor nodes are operated by batteries. As the replacement of these batteries are not practical, this network is very much energy sensitive. Resource coordination is an important issue to make this system energy efficient. Sensor nodes can be applied in various applications. Object...
Limited energy resource is the major constraint associated with Wireless Sensor Network (WSN). As communication is the major cause of energy depletion in the network so designing of energy efficient routing algorithm is one of the key challenges that need to be address for extending life time of network. In this paper we have taken the deployed redundant nodes in to account which cover major fraction...
Wireless Sensor Network (WSN) is still a hottest research topic which can be applied to a lot of new research field such as robotic and smart grid. Its not only used for detecting the new environment but also monitoring any situation which has dynamic variation. However, the sensor node is relied on the battery energy that limited the lifetime of entire network. In this paper, we proposed a novel...
This paper presents a clustering hierarchy protocol based on Energy Efficient Cluster Head Selection (EECHS), which aims to reduce energy consumption within the wireless sensor network and prolong the lifetime of the network. Simulation result shows that the proposed protocol (EECHS) has better performance than Based Energy Clustering (BEC) protocol in reducing energy consumption and prolonging lifetime...
Wireless sensor networks consist of small battery powered devices with limited energy resources. The energy efficiency is key design that needs to be enhanced in order to improve the life-time of the network. However, the conventional cluster constructions are difficult to control the geographical area of a cluster. The methods usually generate long-distance intra-cluster routing and can not keep...
The deployment of wireless sensor networks in many application areas requires self organization of the network nodes into clusters. The clustering Algorithm is a kind of key technique used to reduce energy consumption. Efficient way to enhance the lifetime of the system is to partition the network into distinct clusters with a high energy node as cluster head. The different methods of node clustering...
Many-to-one transport results in congestion in wireless sensor networks (WSNs). This is due to the sudden impulse of information flowing to a single destination by single branch. More attention has been paid to congestion control in WSN, but most research works in the past were apt to handle it by controlling output sending rate, and seldom sought solutions on utilizing the idle resources of non-congestion...
Clustering is one of the basic approaches for designing energy-efficient and scalable distributed sensor networks. HEED is a well known energy efficient clustering protocol. In this protocol, the message overhead is low and cluster heads are distributed fairly across the network. Our distributed clustering protocol, HEED*, improves HEED protocol to achieve energy efficiency with three techniques:...
In wireless sensor network, all nodes are energy constrained and designing an energy efficient routing protocol is very important. Clustering routing protocol is a kind of energy efficient routing, while using a virtual backbone to organize the nodes and perform an efficient routing is also a feasible way.
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