Wireless Ad Hoc And Sensor Networking Computer Science Essay

July 15, 2017 Computer Science

When sing about detector webs hardware platforms, these hardware platforms are constrained by treating power, memory capacity and energy which generate the demand of particular runing systems to back up Wireless Ad-Hoc Sensor Networks. Those runing systems should be less complex and required to optimally utilize the available limited sum of resources. Concurrent, reactive and support for communicating are the most cardinal characteristics that should be available on a detector networks runing systems. TinyOS, Contiki, MANTIS, BTnut, LiteOS and Nano-RK are some of the operating systems that have been specifically design for detector webs. Most of these runing systems written by utilizing C linguistic communication, because these runing systems does non necessitate to include support of user interfaces. Besides resource restraints are the most important factor when developing such sort of detector web runing systems.

Sing about wireless ad-hoc and sensor networking research country, fundamentally there are two waies. First one is sing sensor webs as networking country and making research and the 2nd way is sing sensor webs as databases and making the research. When sing detector web as databases, holding database for each and every node is non executable due to the limited memory capacity of the detector nodes. So to turn to this restriction researches came up with a solution that turn uping database abstraction in base station and communicate base station with detector node utilizing efficient routing algorithms. Users can shoot questions at the base station and base station converts those questions to sensor node apprehensible format utilizing query library and send to nodes and acquire the consequences.

When sing about the database abstractions in wireless ad-hoc and sensor webs TinyDB, TikiriDB and Vector programming database abstraction are the good known database abstractions which are presently available. TinyDB is the database abstraction bed in TinyOS runing system, which is develop by University of California, Berkeley. This was written by utilizing NesC linguistic communication which is the extension from C linguistic communication. TikiriDB is the database abstraction bed for Contiki runing system which was developed by University of Colombo School of Computing. TikiriDB was written by utilizing C linguistic communication. When comparing TinyDB and TikiriDB, TikiriDB supports shared WSNs which is non supported by TinyDB.

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Sing about TikiriDB and TinyDB database abstractions in detector webs, those database abstractions used SQL-Like question interface to questioning detector web. Users can shoot questions from the base station, so base station convert those questions to sensor node apprehensible format and send to the detector nodes and detector nodes sense informations harmonizing to the questions and obtained consequences. Finally sensor nodes send those informations to the base station.

Normally Relational Database Management Systems ( RDBMS ) warrant ACID belongingss ( atomicity, consistence, isolation, lastingness ) . Currently we thought approximately TikiriDB and TinyDB as a RDBMS and we input SQL like questions from the base station and obtained consequences. But in those database abstractions we can non vouch ACID belongingss because detector webs non vouch about it. Sometimes sensor nodes can neglect due to the low power or some environmental constrains. Due to that some of the informations can be lost in the operational manner of the detector network.

Current database abstractions we can utilize some SQL operations such as JOIN. JOIN operation is most dearly-won operation in SQL. If we want to utilize SQL JOIN operation at least we should hold two tabular arraies. But current database abstraction we have non fixed table construction. Data flower to the base station in scale horizontal manner. Besides sometimes informations can be lost in detector webs. Harmonizing to that we can exemplify such sort of SQL operations are useless when sing about detector webs.

AICD belongingss are non guarantee in detector webs. Besides current database abstractions for wireless ad-hoc and sensor webs we had a job in SQL-Like question interface. Current database abstractions operated as mentioning detector webs as relational database direction system architecture. But harmonizing to the job which has in current database abstraction for WSNs, SQL-Like question interface is non suited. So new sort of a question interface is needed for wireless ad-hoc and sensor webs database abstractions.

The chief aim of this research is to give NoSQL database abstraction for TikiriDB which is the declaratory database abstraction for Contiki runing system. When sing approximately NoSQL, it chiefly concentrate on public presentation and scalability. NoSQL did non vouch ACID belongingss. NoSQL did non necessitate fixed table construction. Comparing NoSQL database abstraction with current database abstractions, NoSQL database abstractions is better attack for detector networks.

NoSQL chiefly store the informations as Key-Value braces. Most NoSQL databases used distributed hash tabular arraies to hive away informations. Redis, Cassandra in Twitter, Bigtable in Google are some illustrations for such NoSQL databases.

In our research foremost we take current TikiriDB database abstraction which has Tikiri-SQL client which gives SQL-Like question interface to users. Then our attack is implementing NoSQL database abstraction for TikiriDB with replacing Tikiri-SQL client with NoSQL. To make that first we use RedisDB. RedisDB is the light weight NoSQL database which has 80,000+ operations per second. RedisDB is written by utilizing C linguistic communication and it supports multiple platforms such as Java, Perl, PHP and so many other linguistic communications. Sing about RedisDB it can manage to compose operations even faster than it read operations. And it can hive away informations in sorted sets or hashes.

After implementing RedisDB NoSQL database abstraction we compare the question operation clip with bing TikiriDB database abstraction. Then we try BekeleyDB NoSQL database abstraction in TikiriDB and measure the public presentations with current TikiriDB database abstraction and BekeleyDB database abstraction. By comparing those consequences we hope to acquire the most suited NoSQL database abstraction for wireless ad-hoc and sensor webs. Finally we are seeking to give alone NoSQL database abstraction for WSNs without covering with RedisDB or BekeleyDB.

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