Abstract: The important thing in doing planning and mission execution is to gain data and information from observation result. From data and the information which have been collected, can be design an appropriate strategy, reviewed from various perspectives to minimize the loss in mission execution. Therefore an appropriate method should be used to perform Knowldege Extraction for any information obtained from these observations. Fusion Information based on Cognitive Artificial Intelligence (CAI) is intended to produce a complete information processing and fast as a basis for planning and mission execution. This paper will explain the process of infomation fusion based on CAI, for doing Knowledge Extraction, so it can take appropriate conclusions for the results of observations made.

• Publication Date: 19-Aug-2016
• DOI: 10.15224/978-1-63248-099-6-32
• Views: 0
• Downloads: 0

Abstract: Low-power wireless personal area network (LoWPAN) consists of large number of resource constraint devices connected over a wireless link with the aim of gathering real time information and transmitting it to desired application and vice versa. This requires transmission of IPv6 packets over Low-power wireless personal area network and is called 6LoWPAN. The large sized headers like IPv6, TCP, and UDP consume most of the packet space leaving only 28 bytes for actual payload. MTU of 802.15.4(IEEE standard for wireless network) is only 127 bytes much less as compare to IPv6 packet which is of 1280 bytes. Hence Header compression and fragmentation becomes a necessity in 6LoWPAN so as to provide reasonable number of bits for payload. This paper depicts 6LoWPAN protocol stack and various header compression techniques for compressing IPv6 header. It also shows comparison among various techniques on the basis of total number of bits needed in compressed IPv6 header under various scenarios.

• Publication Date: 11-Dec-2015
• DOI: 10.15224/978-1-63248-099-6-33
• Views: 0
• Downloads: 0