Reliability Of Energy Efficient Cluster Based Routing Protocol For Wireless Sensor Networks

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

The Hierarchical Power Aware Routing (HPAR) is a power aware routing protocol that divides the network into a group of sensors called zones [12]. In this, the cluster zones are formatted, then the decision is made that how message is routed so the battery life can be maximized. This protocol provides an approximation algorithm called max-min ZPmin algorithm. In this algorithm by applying Dijkshtra algorithm the path who consumes less power is found. Then the second path is found that maximizes the minimal residual power. The advantage is that it provides both transmission power and maximizes battery

In this section, we present the details of proposed protocol. Our protocol implements the idea of probabilities for cluster heads selection based on initial energy and residual energy of sensor nodes as well as the average energy of the sensor network.

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.

ABSTRACT: An ad hoc network is a collection of nodes which are dynamically located in such a manner that their inter connections might change on continual basis. A routing protocol is required, to facilitate communication inside the network by discovering routes between the nodes. This research paper classifies various protocols and provides an overview about eight different protocols under varied categories.

Tarique Haider1 and Mariam Yusuf “A Fuzzy Approach to Energy Optimized Routing for Wireless Sensor Networks”

Authors in [58], introduced an algorithm that exploit the sensor redundancy in the same zone by dividing the network into clusters thus the maintaining of the backbone connectivity can be done by retaining an important set of working nodes and close the redundant ones. Regarding the communication RTCP denotes equivalent nodes based on the connectivity information of one-hop neighbors which causes in reducing the communication overhead and then the scheduling of the nodes is done based on that equivalence. RTCP allows only to the elected node to be active in each cluster. The simulation results reveal that the proposed algorithm outperforms some other existing algorithms in terms of power consumptions and

The approach of dividing the networks into small controllable units is called as clustering. The clustering technique advances the scalability of network through ease of implementation and results energy efficient routing within the sensor networks. The clustering approach has some other advantages also like conserving communication bandwidth, avoiding redundant message transfer, localizing energy efficient route setup etc. LEACH, HEED, DECA, etc. are the energy efficient routing protocols based on clustering technique.

An Ad-hoc network is a wireless network. It uses high frequency radio waves for nodes or device communications which increase mobility but decrease the ranges rather than using communication cables between the nodes. Ad-hoc network consists of no infrastructure and no fixed base station and centralized administrator. So, each node in this network act as router or host for direct communication with each other. Then nodes are freely move from one place to another place and it forms the own topology themself. And each nodes are powered by batteries with a limited energy, wherein each node stops functioning when batteries get sanitations. For energy efficient and maximize lifetime of nodes we introduce techniques aimed to minimize power consumption of all nodes by using multicast routing protocol.

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 network consist of a large number of sensor node with limited resource of energy, transmission power, network power, network bandwidth, and computation power. Each sensor node is able to perform some processing and sensing task independently. Each sensor node is able to communicate with each others to forward the sensing information. Sensor network can be consist of three subsystem namely sensor

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—In wireless sensor network (WSN), many novel architectures, protocols, algorithms and applications have been proposed and implemented for energy efficiency. The efficiency of these networks is highly dependent on routing protocols which directly affecting the network life-time. Cluster formation in sensor network is one of the most popular technique for reducing the energy consumption and expand the lifetime of the sensor network. There are various cluster formation techniques used in wireless sensor network. In which, Particle Swarm Optimization (PSO) is simple and efficient optimization algorithm, which is used to form the energy efficient clusters with optimal selection of cluster head. The comparison is made with the well-known cluster based protocols developed for WSN, LEACH (Low Energy Adaptive Clustering Hierarchy) and LEACH-C as well as the traditional K-means clustering algorithm. A comparative analysis shown in the paper and come to the conclusion based on some parameters.

Abstract: Wireless sensor networks (WSN) have grabbed much attention in recent years due to their potential use in many applications. One such application is deploying WSN in underground mines to monitor the miner 's physical signals as well as the environment they are exposed to. However, due to the resource constraints of sensor nodes and the adhoc-formation of the network, in addition with an unattended deployment, pose un-conventional demands provoke the need for special techniques for design and management of WSN. Because of the restrictions caused by the lossy dielectric walls and ceilings in the underground mines, the radio signal propagation characteristics are significantly different from those of terrestrial wireless channels. In this paper, underground WSN is designed considering worker’s safety in under-ground, increased energy efficiency and productivity as main goals.