The state of physical entity in the Internet Things (IoT) has an obvious time-varying characteristic. Preliminarily selecting candidate entities by predicting their current when searching match from massive ones can effectively reduce communication overhead IoT search system. existing methods are all based on shallow learning theories whose performances very limited. Thus, a high-accuracy prediction method (HESPM) deep theory is proposed. model HESPM built utilizing belief network. Then...

Cellular D2D networks consist of numerous user equipments (UEs) carried by human beings with multiple social attributes, which accordingly connotes an overlapping community (OC) structure. Accurately detecting OC UEs can effectively improve the efficiency multi-hop communication. Existing relay selection methods overlook structure characteristic cellular networks, results in limited efficiency. Therefore, we propose deep exploring-based method. First, build tie matrix between and then based...

In D2D communication, physically adjacent users can directly establish connections without transmitting through base station, which improve the network performance. The cellular caching technology offload part of traffic station and effectively alleviate data transmission pressure station. However, there is no research on cache mechanism in that consider collaboration willingness equipment (UE). Therefore, cooperative aware collaborative towards communication (CWCM) proposed. First, a UE...

There are massive entities with strong denaturation of state in the physical world, and users have urgent needs for real-time intelligent acquisition entity information, thus recommendation technologies that can actively provide instant precise information come into being. Existing IoT data methods ignore characteristics user search behavior; performances relatively limited. Considering time-varying behavior, an edge-cloud collaborative method is proposed via combining advantages edge...

In recent years, a large number of intelligent sensing devices have been deployed in the physical world, which brings great difficulties to existing entity search. With increase devices, accuracy search system querying entities match user's request is reduced, and delay increased. We use mobile edge technology alleviate this problem by processing user requests on side propose similar matching strategy for First, raw data collected sensor lightly weighted expressed reduce storage overhead...

The wide-scale deployments and interconnections of massive diverse sensors in Internet Things (IoT) enable the mapping multimedia entity state data from physical world into cyberspace. Sensor search technologies further facilitate access to data. However, existing sensor mechanisms overlook requirements for historical information on entities. Besides, previous current based realize low-cost through predicting shallow learning theory, which leads limited prediction accuracy higher...

Nowadays, with the rapid developments of Internet Things, information on physical entities has shown explosive growth. The emergence Things search technology facilitated storage, organization, and management massive entity information. Aiming at issues security privacy target to obtain optimal perceiving results by selecting participants ensure quality service IoT platform, this paper proposes a participant selection strategy protection for (PSSPP). Firstly, task requester contents are...

The message in the opportunistic network is transmitted form of storage-carry-forward. Designing a reasonable cache management mechanism great significance to improve performance network. An opportunity with collaborative willingness aware proposed. ability messages by nodes estimated modeling and analyzing generation extinction process node messages. It estimates cooperative nodes, finally stores redundant higher willingness, so as utilization

In recent years, with the great progress made in embedded technology and communication technology, number of mobile sensing devices such as smart phones, tablets, wearable has grown exponentially. Such products have certain sensing, storing, computing, communicating capabilities, are able to complete some simple tasks. Due influences location, observation period, energy supply other factors on fixed-deployed equipment, state information acquired by search system process matching entity users...

The existing similar entity search method has poor adaptability to the length of observed sequence, and data storage overhead in process is too large, accuracy result insufficient. To this end, an efficient proposed for IoT Entity Search with Similarity Adaptive Estimation (SAEES). Firstly, order reduce observation a lightweight segmentation representation sequence designed perform compression original collected by sensor. Then, achieve accurate estimation similarity entities different...