Description Of An Energy Efficient Multi Channel Routing Protocol ( Cfca )

Geographic Adaptive Fidelity (GAF): Geographic Adaptive Fidelity is an energy-aware location based routing algorithm planned for mobile ad-hoc networks but has been used to WSNs. Geographic Adaptive Fidelity conserving energy by switching off redundant sensors nodes. In this routing protocol, the entire network is classified into number of static zones and a virtual grid is made for the covered region. Every node utilizes its GPS-indicated location to link itself with a point in the virtual grid. Nodes linked to the same point on the grid are assumed equivalent with respect to packet routing costs. Nodes within a zone cooperate by choosing one node to show the zone for a period of time whereas the rest of the nodes sleep. A sample situation is considered from

A group of wireless sensor nodes (devices) dynamically constructs a temporary network without the exercise of any pre-existing network infrastructure or centralized administration. The main goal of ad-hoc networking is multihop broadcasting in which packets are transferred from source node to destination node through the intermediate nodes (hops). The main function of multi hop WSN is to enable communication between two terminal devices through a bit of middle nodes, which are transferring information from one level to another level. On the foundation of network connectivity, it dynamically gets to determine that which nodes should get included in routing, each node involved in routing transmit the data to further

A WSN is a type of wireless networks that consists of collection sensor nodes which are tiny devices. Each sensor node of the network has different processing capability. It may contain multiple types of memory (program, data and flash memories), have a RF transceiver, have a power source (e.g., batteries and solar cells), and accommodate various sensors and actuators. The nodes communicate wirelessly and often self-organize after being deployed in an ad hoc fashion [13, 14]. Optimum need of each sensor node is to maximize its own utility function. Also the whole network requires resource assignments balance to perform in a useful and efficient way. This chapter presents a brief survey on WSNs showing its types, characterizing features, protocols and applications.

World Wide Web). The nodes can be static or dynamic [24]. Wireless Sensor Networks (WSN) will continue to play a very important role in our day to day lives. A WSN contains of sensor nodes that are powered by little unique batteries. These sensor nodes are densely arranged in the area to be monitored to sense and transmit information towards the base station. WSN can simplify structure design and operation, as the environment being monitored does not need the communication or energy infrastructure connected with wired networks [25].

For cluster-based WSNs (CWSNs), secure data transmission, where like dynamically and periodically the clusters are shaped. The analysis problems associated with WSNs security and knowledge aggregation with reference to the protection and security analysis against various attacks, we show the quality of being usable of the SET-IBS and SET-IBOOS protocols. For a fuzzy approach and SET-IBS formula employing a combination in our planned system, for WSNs a replacement routing technique to extend network amount of some time from the supply to the destination by affirmative the best remaining battery power. The proposal is to envision an optimum routing path, minimum vary of hops, and minimum traffic load in terms of leveling energy consumption and for some time maximization of network quantity for the planned technique. To demonstrate the effectiveness, in two completely different topographical areas using similar routing criteria with the A-star search formula we tend to match our approach and fuzzy approach.

Z. A. Eu, et al [12] in this thesis, proposed HEEP (Powered by encompassing energy harvesting) and enhanced network execution utilizing routing algorithm and enhances hand-off node position conspire for WSNs.

A wireless sensor network (WSN) is a collection of large number of sensor nodes and at least one base station. The sensor node is an autonomous small device that consists of mainly four units that are sensing, information gathering, processing and communication. In wireless sensor network there of many issues that are much affects in communication, processing and in deployments. The main issue is its coverage and connectivity problem. Most of the times communications does not prohibited properly amongst sensors and base station due lacking of ranges problem. Full coverage and connectivity means that every location in the field is covered by at least one node and

Wireless Sensor Networks give an extension between real world and virtual systems. Wireless systems are grouped into Wireless Personal Area Networks, Wireless Metropolitan Area Networks and Wireless Local Area Networks. They are comprehensively isolated into two classes one is infrastructure-aided and infrastructure less. Portable ad hoc systems are self-sorting out systems of versatile nodes with no foundation so it is infrastructure less system. Transitional or sending nodes is utilized to build up correspondence between nodes. The directing conventions are required on the grounds that the nodes needs to move in the fancied way and the routing strategy plays an essential part in ad hoc systems.

Wireless sensor networks typically consist of a large number of sensor nodes with limited onboard battery resources which are difficult to recharge or replace. Thus the reduction of energy consumption for end-to-end data rate and maximization of network lifetime have become chief research concern. In recent years, many techniques have been proposed for improving the energy efficiency in wireless sensor networks. Among these techniques, V-MIMO technique has been considered as one of the effective ways to save energy. In WSN a node has two communication related energy consuming roles, one role is to serve as a packet generating source node (SN), and the other role is to relay packets for the other nodes, which are both energy consuming operations. This is why the energy minimization is required to extend the lifetime of the WSN.

Abstract :- Due to recent improvement technologies in wireless communication ,there has been a fastest growth in wireless sensor networks technologies during the past few years. Many different architectures as well as algorithms and applications have been determined and implemented. The efficiency of these wireless sensor networks is as much as dependent on routing protocol directly affecting the network life and in wireless sensor network every sensor has a limited transmission range of every sensor node to obtain the sensing data. Due to this limitation of wireless sensor network Clustering of node is most popular techniques preferred in routing operations. In this paper, cluster based energy efficient clustering technique based on artificial bee colony algorithm and genetic algorithm is presented to increase the network lifetime. The name of artificial bee colony algorithm is come from bees cause It has been inspired by collective behavior of Bees as seeking food. To minimize the energy consumption it is significant to plan a data collection path with the minimum length to complete the data collection work. So in this paper, we determine that this problem which can be solve as traveling salesman problem, it 's also called as

HEBM (Hierarchical Energy-Balancing Multipath routing protocol for Wireless Sensor Networks)[70],introduce a novel hierarchical approach. It is proposed to degrading the general network energy consumption and balancing the energy clearing away among the sensor nodes, consequently, prolong the lifetime of the network. In order to achieve these two valuable approaches, the cluster-heads are carefully designed and distributed appropriately over the area of interest which. Moreover, nodes radio is turned off periodically according to sleeping control rules,

Development in Wireless Communication and networking has led to development of many applications like Bluetooth, Near Field Communications and Wireless Sensor Networks. A wireless sensor network is essentially a network of nodes which consist of a power supply, sensors which usually sense the ambient conditions and processors for storing and processing information collected and a transceiver unit which is used to transmit and receive information from other nodes. In addition it might have a GPS system which provides location based services. This Wireless Sensor network is divided into 3 main parts: Bottom nodes, cluster heads and network coordinators. The data collected by a node is transmitted to its cluster head, in turn, the data collected by the cluster head is sent to the network coordinator and data at the network coordinator can be sent to nearby clusters using a router and internet.

Energy efficient routing algorithm can be categorized as follows: data centric routing algorithm, location based routing algorithm and hierarchical routing algorithm . Data centric routing algorithm uses meta data to find the route from source to destination before any actual data transmission to eliminate redundant data transmission Location based routing algorithm requires actual location information for every sensor node. Hierarchical routing algorithm divides the network into clusters. Cluster head (CH) is elected in

When a sensor node has new data, it advertises it using the ADV messages to its neighbors. When a neighboring node receives this message, it checks whether it has already received or requested the advertised data. If not, it sends an REQ message back to the broadcast address requesting the data item. Upon receiving a REQ message, only the originating node sends the actual data to the requesting nodes. One advantage of this protocol is its simplicity and does not require any other topology information.

Wireless sensor networks are the networks that gather information such as environmental information, which there are numbers of applications of WSN such as healthcare, building monitoring, forest fire, smart home etc. WSN is capable of sensing, processing and communicating independently. However, as most of the sensor nodes are powered by non-rechargeable battery, the limitation of energy supply has considerably reduced the lifetime of the sensor network. Hence, new designs of sensor node network and energy efficient MAC (Media Access Control) and protocols for long term autonomous monitoring wireless sensor network has become the next vision.