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Wireless Sensor Networks in Military Applications Research Paper


Introduction

A wireless sensor network can be characterized as a self-designed framework of remote systems to screen physical or ecological conditions such as temperature, sound, vibration, weight, movement, or contaminations and to pass information through the system to a primary area where the information can be watched and analyzed. The sink or base station acts as an interface between clients and the system. Thus, the paper analyzes the capabilities and challenges of wireless sensor networks.

The Capabilities That Make Wireless Sensor Network Useful

Based on their capabilities, wireless sensor systems could be deployed in harsh locations where accessibility is difficult (Franceschetti et al. 1010). Wireless sensor systems have increased prominence because of its adaptability in various applications (Jiang et al. 940). Wireless sensor systems enable analysts to gather exhaustive information in extreme conditions. An extensive database of various surges of information is a resource for scientists.

Another favorable position is that remote sensor systems are adaptable. Thus, wireless sensors are utilized in many applications, for example, structural health monitoring where there is a need for effective communication. Wireless sensor networks design can be installed without difficulties (Grossglauser and Tse 480).

Military Applications. A wireless sensor system is a basic piece of military armor, control, interchanges, monitoring, front line reconnaissance, surveillance, and focusing on frameworks.

Range Monitoring. In territory checking, the sensor hubs are conveyed over a location where events are monitored. When sensors recognize the event (warm, weight), signals are transmitted to the base stations.

The capabilities of a wireless sensor network can be summarized below.

  1. a. Network setups are possible without a dynamic framework.
  2. b. Wireless sensor network is convenient in rough locations, for example, ocean, mountains, and rustic regions.
  3. c. Flexible in situations were an extra workstation is required.
  4. d. Design and deployment are cost-effective.

The Limitations of Wireless Sensor Network Solutions

Power Consumption. As observed, the difficulties of wireless sensor systems center on the constrained power assets. The equipment configuration should consider the issues of effective power use. For example, information pressure may lessen the quantity of energy consumption for radio transmission; however, they utilize extra energy for data transfer. The consumption strategy relies on the application in transmission. In some applications, it may be worthy to turn off some hubs to monitor energy consumption while others require all hubs working simultaneously. Thus, power consumption is a major challenge of wireless sensor networks (Grossglauser and Tse 480).

The remote sensor is untrustworthy in nature. Disruptions can impede transmitted data from reaching its destination. Wireless sensor interference is a challenge in deployment. If two sensors transmit on the same channel, overlapping will occur. As a result, the hub may degenerate each other’s flag and affect transmission. Thus, the transmitter is powered to retransmit at extra cost, time, and energy. Impedance can originate from a similar system if the design does not plan free interchanges. Therefore, impedance and interference are the challenges of wireless sensor networks.

Adaptation to Non-Critical Failure. Sensor hubs are defenseless in risky conditions. Hubs can fail because of equipment issues, physical harm, and energy supply. The resolutions conveyed in a wireless sensory system should have the capacity to recognize these disappointments as time permits and be sufficiently powerful to deal with failures while maintaining the usefulness of the system (Grossglauser and Tse 480).

Versatility. Scalability is a challenge for wireless sensor networks. The challenge of gathering high-resolution information affects transmission and hub efficiency. The hub density may achieve the level where a node has many hubs in its transmission range (Li et al. 1377). Wireless sensor systems should be versatile and have the capacity to keep sufficient execution.

Generation Costs. Because numerous organizational models view the sensor hubs as expendable gadgets, wireless systems can contend with conventional data gathering approaches if the individual sensor nodes can be delivered at a lower cost.

Equipment Constraints. Every sensor hub needs a detecting unit, a preparing unit, a transmission unit, and a power supply. Alternatively, hubs may have a few inherent sensors or extra gadgets, for example, a limitation framework to empower area mindful steering. Along these lines, node functionality should be adjusted against cost and low-control necessities (Lin 1458).

Sensor Network Topology. Although wireless sensor network has advanced in numerous perspectives, the hubs are constrained in vitality, memory, transmission, and correspondence capacities. Energy utilization is of principal significance, which is exhibited by different processes, strategies, and conventions to minimize energy consumption. Thus, topology maintenance is a standout among the most imperative issues explored to diminish energy utilization in remote sensor systems (Kraus and Marhefka 65).

Conclusion

Wireless sensor network capabilities enhance information transfer in dense regions. It provides effective utilization of powerful applications in various institutions. Based on their capabilities, wireless sensor systems could be deployed in harsh locations where accessibility is difficult. Wireless sensor systems have increased prominence because of its adaptability in various applications. However, wireless engineers should manage the challenges to improve data communication and transfer. Sensor nodes and hubs should be redesigned to reduce energy consumption and maintain strong connectivity against interference.

Works Cited

Franceschetti, Massimo, et al. “Closing the Gap in the Capacity of Random Wireless Networks via Percolation Theory.” IEEE Transactions on Information Theory, vol. 53, no. 3, 2007, pp. 1009–1018.

Grossglauser, Matthais, and David Tse. “Mobility Increases the Capacity of Ad Hoc Wireless Networks.” IEEE/ACM Transactions on Networking, vol. 10, no. 4, 2002, pp. 477–486.

Jiang, Chunxiao, et al. “Maximizing Network Capacity with Optimal Source Selection: A Network Science Perspective.” IEEE Signal Processing Letters, vol. 22, no. 7, 2015, pp. 938–942.

Kraus, John, and Ronald Marhefka. Antennas: For All Applications. 3rd ed., McGraw-Hill, 2002.

Li, Pan, et al. “The Capacity of Wireless Ad Hoc Networks Using Directional Antennas.” IEEE Transactions on Mobile Computing, vol. 10, no. 10, 2011, pp. 1374–1387.

Lin, Chen. “Throughput Capacity of Multi-Channel Hybrid Wireless Network with Antenna Support.” Applied Mathematics & Information Science, vol. 8, no. 3, 2014, pp. 1455–1460.

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IvyPanda. (2020, November 6). Wireless Sensor Networks in Military Applications. Retrieved from https://ivypanda.com/essays/wireless-sensor-networks-in-military-applications/

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1. IvyPanda. "Wireless Sensor Networks in Military Applications." November 6, 2020. https://ivypanda.com/essays/wireless-sensor-networks-in-military-applications/.


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IvyPanda. "Wireless Sensor Networks in Military Applications." November 6, 2020. https://ivypanda.com/essays/wireless-sensor-networks-in-military-applications/.

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IvyPanda. 2020. "Wireless Sensor Networks in Military Applications." November 6, 2020. https://ivypanda.com/essays/wireless-sensor-networks-in-military-applications/.

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IvyPanda. (2020) 'Wireless Sensor Networks in Military Applications'. 6 November.

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