Self-Managed System for Distributed Wireless Sensor Networks: A Review

Self-Managed System for Distributed Wireless Sensor Networks: A Review

Sneh Garg, Ram Bahadur Patel
DOI: 10.4018/978-1-7998-2491-6.ch011
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With the advancements in technology, wireless sensor networks (WSNs) are used almost in all applications. These sensor network systems are sometimes used to monitor hostile environments where human intervention is not possible. When sensing is required to be done in areas that are hostile, there is need for autonomous/self-managing systems as it is very difficult for the human to intervene within such hostile environmental conditions. Therefore, in such systems, each node is required to do all functionalities and act like autonomous decision taking node that performs both data forwarding and network control. Therefore, introducing a self-management for large-scale distributed wireless system is a highly tedious task due to resource constrained nature of these nodes. It is very difficult to achieve required quality of service by large systems as a huge amount of energy is dissipated by systems in radio communication. Owing to resource constraint as well as vulnerable nature, developing a self-managing system for distributed WSN is a very challenging and demanding task.
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Extensive work and research is going on in wireless sensor networks (WSNs). These are the networks that are composed of sensor nodes which are distributed in a candidate area either densely or sparsely depending upon the requirement of application, sensing range of nodes, kind of territory and other environmental factors.

Figure 1.

Wireless sensor network

Figure 2.

Architecture of sensor node


In sensor networks, active entity sensor nodes (SNs) are deployed in an area whose physical parameters need to be monitored and these areas may be open or closed. Sometimes SNs need to be deployed in hostile environments, where it is not possible for a human to intervene in a system. Monitoring and management of systems in such hostile environments e.g. under water battlefields, volcano prone area, flood or land slide areas need to be self-manageable, so that, little or no intervention of human is required. In such systems, nodes communicate with one another via wireless means; do their sensing work and other tasks autonomously and smartly. These nodes are smart enough to take decisions by their own according to the changing demands of the environment. These systems are used in large number of applications now-a-days but still sometimes they fail to give throughput up to their full potential as these nodes, which are main constituent of the WSNs, are the resource constrained nodes and possess very less memory, processing capability and energy. These nodes are battery operated devices and these batteries get depleted with time and therefore, battery life decides the life of node (Song, Kim and Sung, 2005). When a node gets scarce from battery, it becomes dead and is unable to communicate with other nodes and base station (BS). The dead nodes greatly affect the working of the overall system. Energy management, energy harvesting, power management are the challenging areas of WSN in which many researches are still going on so as to provide energy externally from some mobile charging sources or by harvesting energy from natural resources or managing internal energy of nodes. All these efforts are done so as to properly utilize the energy that is provided with internal batteries in node and to increase the overall life of system (Ma, Chen, Huang and Lee, 2010).

The WSNs are highly application specific. Their size also depends upon the type of application for which they are used. Therefore, size of networks varies from small sized network to very large sized networks. Owing to dependency on applications, there is need of a different architectures, communication technologies and sensing technologies for different applications. Wireless sensor networks are used in many different applications such as Home/Office automation (Sharma and Reddy, 2012), Military (Winkler, Hughes and Barclay, 2008), Traffic Control (Castillo-Effer and Westhoff, 2004), Irrigation, Marine Environment Monitoring, Industrial Process Monitoring, Environmental monitoring and natural disaster.

Figure 3.

Applications of WSN


Key Terms in this Chapter

Candidate Area: The area is said to be candidate area whose parameters need to be monitored.

Data Fidelity: This term is used to define when data is transmitted from one sensor node to another, retains its actual meaning and granularity.

Quality of Service: It is defined as the measurement of the overall performance/throughput of network system.

Scalability: It means network grows/shrinks with increasing/decreasing network load.

Network Lifetime: It is the time period in which network is capable of performing intended work/functions up to acceptable level.

Sensor Nodes: The wireless sensor networks are composite of sensor nodes that are used monitor, measure and gathering the information of candidate area.

Deployment: Placement of nodes in candidate area is called deployment of nodes.

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